This documentation is generated automatically from the comments included in the Overflow C++ source code.
AND (Logic)
Logical AND between two inputs
| Name | Type | Description | |
| Inputs | INPUT1 | bool | First boolean input |
| INPUT2 | bool | Second boolean input | |
| Outputs | OUTPUT | bool | Boolean output |
| Parameters | PULL_ANYWAY | bool | Pull on INPUT2 even if INPUT1 is false |
Abs (DSP:Base)
Computes the absolute value of each element of a vector
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input vector |
| Outputs | OUTPUT | Vector<float> | Output vector |
| Parameters | none |
Accept (Network)
Create a network socket of any type
| Name | Type | Description | |
| Inputs | SOCKET | socket | The socket to listen to |
| Outputs | SOCKET | stream | The socket to be used for input/output operations |
| Parameters | none |
Accumulate (General)
Accumulation of objects into a buffer, that is, a vector of Objects References. When the node is in the main network or in a sub-network, his input is packed in the vector only once. However while in iterators, his input is packed (added) in the vector at every iteration. As well, his other input "ACCUM" must be connected to a node: "NewAccumulator"(General).
| Name | Type | Description | |
| Inputs | INPUT | any | Input object |
| ACCUM | Vector<ObjectRef> | Accumulator where to put the input | |
| Outputs | OUTPUT | Vector<ObjectRef> | The input accumulator |
| Parameters | none |
Action (General)
Pulls in order the inputs: BEFORE, INPUT and AFTER.
| Name | Type | Description | |
| Inputs | INPUT | any | The input |
| BEFORE | any | To be pulled before | |
| AFTER | any | To be pulled after | |
| Outputs | OUTPUT | any | The output = The input |
| Parameters | none |
AdaptMAP (HMM)
(require: GMM)
Performs MAP adaptation (well, almost!)
| Name | Type | Description | |
| Inputs | FRAMES | Vector<float> | Frame buffer |
| GMM | GMM | GMM to be adapted | |
| Outputs | OUTPUT | GMM | Adapted GMM |
| Parameters | none |
Add (Operator)
Adds two input values and returns the result
| Name | Type | Description | |
| Inputs | INPUT1 | any | First value |
| INPUT2 | any | Second value | |
| Outputs | OUTPUT | any | Result of the addition |
| Parameters | none |
Amplitude (ZDeprecated)
Deprecated, use RMS instead
| Name | Type | Description | |
| Inputs | INPUT | any | No description available |
| Outputs | OUTPUT | any | No description available |
| Parameters | none |
ArgMax (DSP:Base)
Finds the maximum value in a vector
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input vector |
| Outputs | OUTPUT | Vector<float> | Index 0 contains the maximum value, index 1 contains the index where the maximum is found |
| Parameters | START | int | Index where search is started |
| END | int | Index where search ends |
AudioStream (DSP:Audio)
Reads an audio stream and outputs frames
| Name | Type | Description | |
| Inputs | INPUT | Stream | An audio input stream (IStream, fd or FILE *) |
| Outputs | AUDIO | Vector<float> | Frames read |
| NOT_EOF | bool | True if we haven't reach the end of file yet | |
| Parameters | LENGTH | int | Length of the frames (in samples) |
| ADVANCE | int | Offset beween frames (in samples) | |
| ENCODING | string | Type of encoding (LIN16, ULAW, ALAW, LIN8, SPHERE) | |
| STREAM_TYPE | string | Type of stream (stream, fd, FILE) | |
| REWIND | bool | If true, the stream rewinds to the beginning of the file when EOF is met |
Autocor (DSP:Misc)
Computes the autocorrelation of an input vector with (START <= lag <= END)
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input vector |
| Outputs | OUTPUT | Vector<float> | Autocorrelation vector |
| Parameters | START | int | Smallest lag offset (included) |
| END | int | Largest lag offset (included) | |
| CONTINUOUS | bool | Use the previous frame also (cross-correlation) (default false) | |
| NORMALIZE | bool | Energy normalization (default false) | |
| NORMALIZE2 | bool | Normalize by subtracting the value at lag/2 (default false) |
BWExpan (DSP:Adaptive)
Performs bandwidth expansion on an LPC filter, that is, multiplying the radius of the poles by GAMMA
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Original LPC filter |
| Outputs | OUTPUT | Vector<float> | New "bandwidth expanded" LPC filter |
| Parameters | GAMMA | float | Pole radius factor |
BroadcastLoad (IO)
Load an object from file (registered type)
| Name | Type | Description | |
| Inputs | SOCKET | Stream | The stream we are loading from |
| Outputs | OUTPUT | any | The loaded object |
| Parameters | none |
BroadcastSave (IO)
Takes an object and saves it using a stream, returns the input object
| Name | Type | Description | |
| Inputs | OBJECT | any | The object that will be saved |
| SOCKET | Stream | The output stream where to save | |
| Outputs | OUTPUT | any | The input object |
| Parameters | none |
BuildDoc (General)
(require: UIClasses)
Builds a network from a document
| Name | Type | Description | |
| Inputs | INPUT | UIDocument | Loaded document |
| Outputs | OUTPUT | Network | built network |
| Parameters | none |
CAllPole (ZDeprecated)
No description available
| Name | Type | Description | |
| Inputs | INPUT | any | No description available |
| FILTER | any | No description available | |
| Outputs | OUTPUT | any | No description available |
| Parameters | none |
CGain (DSP:Base)
No description available
| Name | Type | Description | |
| Inputs | INPUT | any | No description available |
| GAIN | any | No description available | |
| Outputs | OUTPUT | any | No description available |
| Parameters | none |
CMCalc (VQ)
(require: CMap)
No description available
| Name | Type | Description | |
| Inputs | INPUT | any | No description available |
| CM | any | No description available | |
| Outputs | OUTPUT | any | No description available |
| Parameters | OUTPUTLENGTH | any | No description available |
CMS (DSP:TimeFreq)
Window-type Cepstram Mean Subtraction (CMS)
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input frames (cepstrum) |
| Outputs | OUTPUT | Vector<float> | CMS output frames |
| Parameters | LENGTH | int | Frame length (number of features) |
| LOOKBACK | int | CMS window look-back (number of frames) | |
| LOOKAHEAD | int | CMS window look-ahead (number of frames) |
CMTrain (VQ)
(require: CMap)
Trains a codebook map
| Name | Type | Description | |
| Inputs | TRAIN_IN | Vector<ObjectRef> | Input feature accumulator |
| TRAIN_OUT | Vector<ObjectRef> | Output feature accumulator | |
| VQ | KMeans | Already trained vector quantizer | |
| Outputs | OUTPUT | CodebookMap | Resulting codebook map |
| Parameters | none |
Catch (Flow)
Catches an exception
| Name | Type | Description | |
| Inputs | INPUT | any | Normal flow |
| CATCH | any | Flow to follow if an exception is caught | |
| Outputs | OUTPUT | any | Flow output |
| EXCEPTION | any | The exception caught (use only as feedback link) | |
| Parameters | none |
Collector (Flow)
Pass through with unlimited number of input/output pairs
| Name | Type | Description | |
| Inputs | INPUT | any | The input |
| Outputs | OUTPUT | any | The output = The input (same name) |
| Parameters | none |
Concat (Operator)
Concatenates two input values and returns the result
| Name | Type | Description | |
| Inputs | INPUT1 | any | First value |
| INPUT2 | any | Second value | |
| Outputs | OUTPUT | any | Result of the concatenation |
| Parameters | none |
Concatenate (Vector)
Concatenates two vectors together (deprecated, use Concat instead)
| Name | Type | Description | |
| Inputs | INPUT1 | Vector<float> | First input vector |
| INPUT2 | Vector<float> | Second input vector | |
| Outputs | OUTPUT | Vector<float> | Concatenated vector |
| Parameters | none |
Conj (DSP:Base)
Computes the complex conjugate of a vector
| Name | Type | Description | |
| Inputs | INPUT | Vector<complex> | Input vector |
| Outputs | OUTPUT | Vector<complex> | Conjugate vector |
| Parameters | none |
Connect (Network)
Create a network socket of any type
| Name | Type | Description | |
| Inputs | SOCKET | socket | The socket to listen to |
| HOST | any | The host we want to connect to. | |
| Outputs | SOCKET | stream | The socket to be used for input/output operations |
| Parameters | none |
Constant (General)
Defines a constant in terms of type and value. The different types are: int, float, bool, string, objects and subnet_param.
| Name | Type | Description | |
| Inputs | none | ||
| Outputs | VALUE | any | The value (parameter) |
| Parameters | VALUE | any | The value |
ConstantVector (ZDeprecated)
Creates a Constant vector
| Name | Type | Description | |
| Inputs | none | ||
| Outputs | OUTPUT | Vector<float> | The vector |
| Parameters | VALUE | string | The string representation of the vector |
CovarianceAccum (Matrix)
Updates (accumulate) a covariance matrix with an observation vector
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input (observation) vector |
| MATRIX | Matrix<float> | Input (covariance) matrix | |
| Outputs | OUTPUT | Matrix<float> | Updated matrix (same object as input) |
| Parameters | none |
DCMatrix (Matrix)
Creates a matrix of identical values
| Name | Type | Description | |
| Inputs | none | ||
| Outputs | OUTPUT | Matrix<float> | The matrix |
| Parameters | ROWS | int | Number of rows |
| COLUMNS | int | Number of columns | |
| VALUE | float | Value of each element |
DCT (DSP:TimeFreq)
(require: FFT)
Fast implementation of the discrete cosine transform (DCT) using an FFT
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | The input vector |
| Outputs | OUTPUT | Vector<float> | The result of the DCT |
| Parameters | LENGTH | int | Length of the DCT |
| FAST | bool | If true, the DCT is implemented using an FFT | |
| OUTPUTLENGTH | int | Number of coefficients to calculate (only if FAST=false) |
DCVector (Vector)
Creates a vector of identical values
| Name | Type | Description | |
| Inputs | none | ||
| Outputs | OUTPUT | Vector<float> | The vector |
| Parameters | LENGTH | int | The vector length |
| VALUE | float | Value of each element |
DTMF (DSP:Audio)
Generates a DTMF signal
| Name | Type | Description | |
| Inputs | INPUT | Vector<int> | DTMF vectors (line/column, starting at 0) |
| Outputs | OUTPUT | Vector<float> | DTMF frames |
| Parameters | LENGTH | int | Frame length |
| SAMPLING | int | Sampling | |
| GAIN | float | Value of the gain |
Delay (Flow)
Delay the input of DELAY iterations. Therefore, it can only be used in iterators.
| Name | Type | Description | |
| Inputs | INPUT | any | The input object |
| Outputs | OUTPUT | any | The output object = input object with a delay |
| Parameters | DELAY | int | The delay |
DiagGMMScore (HMM)
(require: DGMM)
Scores a DiagGMM
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input vector |
| GMM | DiagGMM | Input GMM (pdf) | |
| Outputs | OUTPUT | Float | GMM score |
| Parameters | none |
DiagGMMSetScore (HMM)
(require: DGMM)
Scores a DiagGMM
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input vector |
| GMM | DiagGMM | Input GMM set (pdf's) | |
| Outputs | OUTPUT | Vector<float> | GMM scores |
| Parameters | none |
Discard (General)
Discards the object pulled
| Name | Type | Description | |
| Inputs | INPUT | any | The input object |
| Outputs | OUTPUT | NilObject | Always return a NilObject |
| Parameters | none |
Dist (DSP:Misc)
Calculates the distance between two vectors
| Name | Type | Description | |
| Inputs | INPUT1 | Vector<float> | First input vector |
| INPUT2 | Vector<float> | Second input vector | |
| Outputs | OUTPUT | Vector<float> | Distance between INPUT1 and INPUT2 |
| Parameters | none |
Div (Operator)
Divides a numerator by a denominator
| Name | Type | Description | |
| Inputs | NUM | any | The numerator |
| DEN | any | The denominator | |
| Outputs | OUTPUT | any | The result of the division |
| Parameters | none |
DownSample (DSP:Base)
Downsamples a signal by outputing one sample for every N input samples
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Downsampling input |
| Outputs | OUTPUT | Vector<float> | Downsampled (by N) output |
| Parameters | FACTOR | int | Downsampling factor N |
Entropy (DSP:Misc)
Calculates the entropy of a vector
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input vector |
| Outputs | OUTPUT | Vector<float> | Entropy value (vector of 1) |
| Parameters | none |
Equal (Operator)
Returns true if two input values are equal, false otherwise
| Name | Type | Description | |
| Inputs | INPUT1 | any | First value |
| INPUT2 | any | Second value | |
| Outputs | OUTPUT | bool | True or false |
| Parameters | none |
ExecStream (IO)
A command to be executed (stdout is streamed)
| Name | Type | Description | |
| Inputs | INPUT | string | The command arg |
| Outputs | OUTPUT | Stream | The stream |
| Parameters | COMMAND | string | The command |
Exp (DSP:Base)
Computes the exponential (base-e) of a vector
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | The input of the exponential |
| Outputs | OUTPUT | Vector<float> | Result of the exponential |
| Parameters | FAST | bool | Should we use exponential approximation |
FDSaveFrame (ZDeprecated)
Writes audio frames to the sound card (or any other) file descriptor (deplaced by WriteAudio)
| Name | Type | Description | |
| Inputs | OBJECT | Vector<float> | Audio frames |
| FD | FILEDES | (Sound card) File descriptor | |
| Outputs | OUTPUT | Vector<float> | Returning the input audio frames |
| Parameters | LEAD_IN | int | Number of zero frames to send before starting (for synchronization) |
FFT (DSP:TimeFreq)
(require: FFT)
Computes the real FFT of a float vector
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | The input vector |
| Outputs | OUTPUT | Vector<float> | The FFT resuls as [r(0), r(1),..., r(N/2), i(N/2-1), ..., i(2), i(1)] |
| Parameters | none |
FFTFlip (DSP:Base)
Flips a half-spectrum to produce a symetric spectrum
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Half spectrum (real) |
| Outputs | OUTPUT | Vector<float> | Symetric spectrum |
| Parameters | none |
FIR (DSP:Filter)
Finite Impulse Response (FIR) filter
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input frame |
| FILTER | Vector<float> | Filter coefficients | |
| Outputs | OUTPUT | Vector<float> | Filtered output |
| Parameters | CONTINUOUS | bool | Should the frames be considered continuous (filter with memory). Default is true |
| NONCAUSAL | int | Non-causality in number of samples. Default is causal filter |
FLog (DSP:Base)
Computes the natural logarithm of a vector using a *rough* appriximation (only 17 MSB used)
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | The input of the log |
| Outputs | OUTPUT | Vector<float> | Result of the log |
| Parameters | none |
FMapCalc (VQ)
(require: FeatureMap)
Calculates the result of an hetero-associative map (trained by FMapTrain) for an input vector
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input vector |
| FMAP | FeatureMap | The feature map that will be used | |
| Outputs | OUTPUT | Vector<float> | Output features |
| Parameters | INPUTLENGTH | int | Number of input features |
| OUTPUTLENGTH | int | Number of output features |
FMapTrain (VQ)
(require: FeatureMap)
Trains an hetero-associative map based on a decision tree.
| Name | Type | Description | |
| Inputs | TRAIN_IN | Vector<ObjectRef> | An accumulator with input features |
| TRAIN_OUT | Vector<ObjectRef> | An accumulator with input features | |
| Outputs | OUTPUT | FeatureMap | The trained 'feature map' |
| Parameters | LEVELS | any | Number of levels to the decision tree |
Feedback (Flow)
Feedback objects with a delay of n iterations.
| Name | Type | Description | |
| Inputs | INPUT | any | The input object |
| BEFORE | any | When count < delay, pull the input from here | |
| Outputs | OUTPUT | any | The output object = input object |
| DELAY | any | The delayed output of DELAY iteration | |
| Parameters | DELAY | int | Number of iteration for the delay |
| BEFORE_LIMIT | int | When count - DELAY is smaller or equal to BEFORE_LIMIT, the input is pulled from BEFORE at (DELAY - count + BEFORE_LIMIT) |
Filter (DSP:Filter)
No description available
| Name | Type | Description | |
| Inputs | INPUT | any | No description available |
| FIR | any | No description available | |
| IIR | any | No description available | |
| Outputs | OUTPUT | any | No description available |
| Parameters | none |
Float2Vect (Vector)
Converts float values to a vector of elements in past and future
| Name | Type | Description | |
| Inputs | INPUT | float | The input float |
| Outputs | OUTPUT | Vector<float> | The vector |
| Parameters | LOOKAHEAD | int | Number of elements in the future |
| LOOKBACK | int | Number of elements in the past |
Floor (DSP:Base)
Floors vector values
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input vector |
| Outputs | OUTPUT | Vector<float> | Output vector (after flooring) |
| Parameters | THRESH | float | Threshold |
FrameLabel (DSP:Audio)
Applies a gain to a vector
| Name | Type | Description | |
| Inputs | INPUT | Stream | Input stream |
| Outputs | OUTPUT | String | Frame label |
| Parameters | FRAME_ADVANCE | int | Frame advance to use |
FuzzyModelExec (Fuzzy)
FuzzyModelExec takes a FuzzyModel and find its output according the the specified intput.
| Name | Type | Description | |
| Inputs | MODEL | any | The model to use |
| INPUT | any | The input values to calculate | |
| Outputs | OUTPUT | any | The output of the fuzzy model |
| Parameters | none |
FuzzyRule (Fuzzy)
A Rule containing ANTECEDANTS (IF) and CONSEQUENTS(THEN)
| Name | Type | Description | |
| Inputs | none | ||
| Outputs | RULE | Vector<ObjectRef> | The FuzzyRule Object |
| Parameters | IF | string | Antecedant of the rule seperated by spaces |
| THEN | string | Consequent of the rule seperated by spaces |
FuzzySet (Fuzzy)
A FuzzySet containing functions associated with names
| Name | Type | Description | |
| Inputs | FUNCTIONS | Vector<ObjectRef> | The Fuzzy Functions |
| Outputs | SET | Vector<ObjectRef> | The FuzzySet with multiple Fuzzy Functions |
| Parameters | NAME | string | The name of the set |
GCMS (DSP:TimeFreq)
Growing-Window Cepstral Mean Subtraction
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input frames |
| Outputs | OUTPUT | Vector<float> | CMS output |
| Parameters | LENGTH | int | Frame lentgh (features) |
GCMS2 (DSP:TimeFreq)
Growing-Window Cepstral Mean Subtraction, counting only speech
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input frames |
| IS_SPEECH | bool | Whether the frame is speech | |
| Outputs | OUTPUT | Vector<float> | CMS output |
| Parameters | LENGTH | int | Frame lentgh (features) |
GMMScore (HMM)
Scores a GMM for a given frame
| Name | Type | Description | |
| Inputs | FRAMES | Vector<float> | Frames that will be scored |
| GMM | GMM | GMM used as dpf | |
| Outputs | OUTPUT | Vector<float> | Log-score (as a vector of 1) |
| Parameters | none |
GMMTrain (HMM)
Trains a GMM using an accumulator of frames
| Name | Type | Description | |
| Inputs | FRAMES | Vector<ObjectRef> | Frame Accumulator |
| Outputs | OUTPUT | GMM | The trained GMM |
| Parameters | SPLIT_LEVELS | int | Number of times to perform the split = log2 (number of gaussians) |
Gain (DSP:Base)
Applies a gain to a vector
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input vector |
| Outputs | OUTPUT | Vector<float> | Output vector (after gain) |
| Parameters | GAIN | float | Value of the gain |
GenericModel (Fuzzy)
A generic Fuzzy controller
| Name | Type | Description | |
| Inputs | RULES | Vector<ObjectRef> | The Rules to use |
| ANTECEDENT_SETS | Vector<ObjectRef> | The Sets to use | |
| CONSEQUENT_SETS | Vector<ObjectRef> | The Sets to use | |
| INPUT | Vector<float> | The input value of the variables | |
| Outputs | MODEL | Model | The model (cloned) |
| OUTPUT | Vector<float> | The defuzzified values | |
| Parameters | none |
GetComposite (General)
Split up a composite object. This node makes just the opposite of the node "MakeComposite", that is, split up his compressed input (the composite object) into several outputs. However, the outputs must be added manually by by users. To add outputs to the node: double-click on it and click on the tab "Input/Outputs". Give a name to the output and press "Add". Repeat as long as you wish. Therefore, you can regroup inputs with "MakeComposite", send them in one output (the composite object) and get them back with "GetComposite". However, if you want to do so, inputs of "MakeComposite" and outputs of "GetComposite" must have corresponding names.
| Name | Type | Description | |
| Inputs | INPUT | CompositeType | Composite object |
| Outputs | none | ||
| Parameters | none |
Greater (Logic)
Verifies if INPUT1 > INPUT2
| Name | Type | Description | |
| Inputs | INPUT1 | any | The first operand |
| INPUT2 | any | The second operand | |
| Outputs | OUTPUT | bool | bool value |
| Parameters | none |
GtkPlotProbe (Probe)
Plots a vector using GtkPlot
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input vector |
| Outputs | OUTPUT | Vector<float> | Same as input |
| Parameters | BREAK_AT | int | If set, the probe runs until (count = BREAK_AT) |
| SHOW | bool | Whether or not to show the the data by default | |
| SKIP | int | Count increment for each "Next" | |
| PROBE_NAME | string | Name (title) of the probe |
HP (DSP:Filter)
No description available
| Name | Type | Description | |
| Inputs | INPUT | any | No description available |
| Outputs | OUTPUT | any | No description available |
| Parameters | DELAY | int | No description available |
| FILTER_LENGTH | int | No description available | |
| FREQ | float | No description available |
HistoVect (DSP:Manip)
No description available
| Name | Type | Description | |
| Inputs | INPUT | any | No description available |
| Outputs | OUTPUT | any | No description available |
| Parameters | LENGTH | any | No description available |
IDCT (DSP:TimeFreq)
(require: FFT)
Fast implementation of the inverse discrete cosine transform (IDCT) using an FFT
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | The input vector |
| Outputs | OUTPUT | Vector<float> | The result of the DCT |
| Parameters | LENGTH | int | Length of the input and output vectors |
IF (Logic)
Takes a branch or another depending on a condition (Bool value).
| Name | Type | Description | |
| Inputs | COND | bool | The condition for the if statement |
| THEN | any | What to do if the condition is true | |
| ELSE | any | What to do if the condition is false | |
| Outputs | OUTPUT | any | The object from THEN or ELSE depending on COND |
| Parameters | PULL_ANYWAY | bool | If true, the IF statement pulls also on the branch not taken |
IIR (DSP:Filter)
All-pole (IIR) filter
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input signal (frames) |
| FILTER | Vector<float> | Filter coefficients (denominator) | |
| Outputs | OUTPUT | Vector<float> | Filtered signal |
| Parameters | none |
ILTF (DSP:Filter)
Inverse (all-pole) long-term (comb) filter
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input frame |
| FILTER | Vector<float> | Filter params as [gain, period] | |
| Outputs | OUTPUT | Vector<float> | Filtered signal |
| Parameters | none |
IRFFT (DSP:TimeFreq)
(require: FFT)
Inverse FFT, half complex to real vector
| Name | Type | Description | |
| Inputs | INPUT | Vector<complex> | Half complex vector |
| Outputs | OUTPUT | Vector<float> | Real inverse FFT output |
| Parameters | none |
Index (Vector)
Returns a float value from a vector
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | The input vector |
| INDEX | int | Index value (if not specified in parameter) | |
| Outputs | OUTPUT | float | Float at a certain index |
| Parameters | INDEX | int | Index value |
Index2Vector (DSP:Manip)
No description available
| Name | Type | Description | |
| Inputs | INPUT | any | No description available |
| Outputs | OUTPUT | any | No description available |
| Parameters | LENGTH | any | No description available |
InferenceModel (Fuzzy)
A generic Fuzzy controller
| Name | Type | Description | |
| Inputs | RULES | Vector<ObjectRef> | The Rules to use |
| ANTECEDENT_SETS | Vector<ObjectRef> | The Sets to use | |
| CONSEQUENT_SETS | Vector<ObjectRef> | The Sets to use | |
| INPUT | Vector<float> | The input value of the variables | |
| Outputs | MODEL | Model | The model (cloned) |
| OUTPUT | Vector<float> | The defuzzified values | |
| OUTPUT_SETS | Vector<ObjectRef> | The copied consequent set(s) | |
| Parameters | none |
InputStream (IO)
Creates a read-only stream from a filename
| Name | Type | Description | |
| Inputs | INPUT | string | The file name |
| Outputs | OUTPUT | Stream | The Stream |
| Parameters | TYPE | String | Type of stream: stream, fd, or FILE (default stream) |
| RETRY | int | If set to N, InputStream will retry N times on open fail |
IterCount (Logic)
Get the iterator count (iteration number)
| Name | Type | Description | |
| Inputs | none | ||
| Outputs | OUTPUT | int | The iteration count |
| Parameters | none |
IterWall (Flow)
Get the input object only once, compute the result and always give the same output afterwards.
| Name | Type | Description | |
| Inputs | INPUT | any | The input object |
| Outputs | OUTPUT | any | The output object = the input object (calculated once) |
| Parameters | none |
Iterate (Flow)
Specify the number of iteration to do (max). Therefore, it can only be used in iterators and the output must be set to COND (left click on the node output and hold the control).
| Name | Type | Description | |
| Inputs | none | ||
| Outputs | OUTPUT | bool | Return true if count < MAX_ITER |
| Parameters | MAX_ITER | int | Number of iteration to do (max) |
KeyPad (Probe)
No description available
| Name | Type | Description | |
| Inputs | none | ||
| Outputs | KEYPAD | Vector<int> | A vector of size 2 representing the tuple Line/column of the pressed key. |
| KEYPAD_ID | int | The Id of the key that is pressed | |
| KEYPAD_NAME | Char | The Char description of the key that is pressed | |
| ACTIVATED | bool | True if the user is pressing a button, else false. | |
| Parameters | none |
LP (DSP:Filter)
No description available
| Name | Type | Description | |
| Inputs | INPUT | any | No description available |
| Outputs | OUTPUT | any | No description available |
| Parameters | DELAY | int | No description available |
| FILTER_LENGTH | int | No description available | |
| FREQ | float | No description available |
LPC (DSP:Adaptive)
Performs LPC (Linear predictive coefficient) analysis
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input (audio) vector |
| Outputs | OUTPUT | Vector<float> | LPC coefficients (including a[0]=1) |
| Parameters | OUTPUTLENGTH | int | Number of LPC coefficients (order = OUTPUTLENGTH-1) |
| RADIUS | float | Maximum radius of the poles (used for bandwidth expansion) | |
| LAG_THETA | float | Minimum resonnance bandwidth allowed (with lag-windowing, approximative) |
LPC2PS (DSP:Adaptive)
(require: FFT)
Calculates the spectral envelope corresponding to an all-pole filter (LPC coefficients)
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | LPC coefficients (including the '1' as first coefficient) |
| Outputs | OUTPUT | Vector<float> | Points of the spectral envelope |
| Parameters | OUTPUTLENGTH | int | Number of points for the spectral envelope |
LPC_DECOMP (DSP:Adaptive)
No description available
| Name | Type | Description | |
| Inputs | INPUT | any | No description available |
| Outputs | LPC | any | No description available |
| EXC | any | No description available | |
| Parameters | LPC_SIZE | int | No description available |
| LAG_THETA | float | No description available | |
| FRAME_SIZE2 | int | No description available |
LPFilter (DSP:Filter)
No description available
| Name | Type | Description | |
| Inputs | none | ||
| Outputs | OUTPUT | any | No description available |
| Parameters | LENGTH | any | No description available |
| THETA | any | No description available | |
| HP | any | No description available |
LTF (DSP:Filter)
Long-term (comb) filter
| Name | Type | Description | |
| Inputs | INPUT | any | No description available |
| FILTER | any | No description available | |
| Outputs | OUTPUT | any | No description available |
| Parameters | none |
LTP (DSP:Adaptive)
Long-term predictor, finds best correlation (pitch) within (START <= sample delay <= END)
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input frame |
| Outputs | OUTPUT | Vector<float> | [pitch gain, pitch period] |
| Parameters | START | int | Smallest pitch allowed |
| END | int | Largest pitch allowed |
Length (Vector)
Get the length of a vector
| Name | Type | Description | |
| Inputs | INPUT | any | The vector input |
| Outputs | OUTPUT | int | The length of the vector |
| Parameters | none |
List (General)
Load a string from a file (seperated into chunks of 256 bytes)
| Name | Type | Description | |
| Inputs | STREAM | Stream | The stream to load from |
| Outputs | OUTPUT | Vector<ObjectRef> | The vector output |
| Parameters | none |
Listen (Network)
Create a network socket of any type
| Name | Type | Description | |
| Inputs | SOCKET | socket | The socket to listen to |
| Outputs | SOCKET | socket | The socket to be used for input/output operations |
| Parameters | BACKLOG | int | Number of incoming connections allowed |
| BLOCKING | bool | Blocking call to accept. |
Load (IO)
Load an object from file (registered type)
| Name | Type | Description | |
| Inputs | STREAM | Stream | The stream we are loading from |
| Outputs | OUTPUT | any | The loaded object |
| Parameters | none |
LoadDoc (General)
(require: UIClasses)
Loads an Overflow XML document
| Name | Type | Description | |
| Inputs | INPUT | string | Document name |
| Outputs | OUTPUT | UIDocument | loaded document |
| Parameters | none |
LoadFile (IO)
No description available
| Name | Type | Description | |
| Inputs | none | ||
| Outputs | OUTPUT | any | No description available |
| Parameters | FILENAME | string | No description available |
Log (DSP:Base)
Computes the natural logarithm of a vector
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | The input of the log |
| Outputs | OUTPUT | Vector<float> | Result of the log |
| Parameters | FAST | bool | Should we use fast log approximation |
MDCT (DSP:TimeFreq)
(require: MDCT)
MDCT implementation (taken from Vorbis)
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input frame |
| Outputs | OUTPUT | Vector<float> | MDCT result |
| Parameters | LENGTH | int | Frame (not window) size |
MFCC (ZDeprecated)
Calculates MFCC coefficients from an audio frame (all in one)
| Name | Type | Description | |
| Inputs | INPUT | any | No description available |
| Outputs | OUTPUT | any | No description available |
| Parameters | INPUTLENGTH | any | No description available |
| OUTPUTLENGTH | any | No description available | |
| WINDOW | any | No description available | |
| SAMPLING | any | No description available | |
| LOW | any | No description available | |
| HIGH | any | No description available |
MMIScore (VQ)
No description available
| Name | Type | Description | |
| Inputs | FRAMES | any | No description available |
| MMI | any | No description available | |
| Outputs | OUTPUT | any | No description available |
| Parameters | none |
MMITrain (VQ)
Train Maximum Mutual Information (MMI) Tree
| Name | Type | Description | |
| Inputs | FRAMES | Vector<ObjectRef> | No description available |
| Outputs | OUTPUT | Cell | MMI tree |
| Parameters | LEVELS | int | Number of levels for the tree |
MSVQTrain (VQ)
(require: MSVQ)
Training of a multi-stage vector quantizer
| Name | Type | Description | |
| Inputs | FRAMES | any | No description available |
| Outputs | OUTPUT | any | No description available |
| Parameters | STAGES | any | No description available |
| BINARY | any | No description available |
MakeComposite (General)
Creates a composite object. A composite object is somewhere like a structure in C++. Indeed, a composite object is a regrouping of inputs like a structure is a regrouping of variables. You can chose the name and the number of inputs that you want your node to containt. To add inputs in the node: double-click on it and click on the tab "Input/Outputs". Give a name to the input and press "Add". Repeat as long as you wish. Then, the node will regoup all of these inputs together in only one output (a composite object).
| Name | Type | Description | |
| Inputs | none | ||
| Outputs | OUTPUT | any | Create a new composite object. |
| Parameters | none |
MakeDiagGMM (HMM)
(require: GMM)
Transforms a GMM into a DiagGMM
| Name | Type | Description | |
| Inputs | INPUT | GMM | Input GMM |
| Outputs | OUTPUT | DiagGMM | Output DiagGMM |
| Parameters | none |
MarkovProb (HMM)
Calculates the Markov chain probability
| Name | Type | Description | |
| Inputs | INPUT | any | State probability |
| MATRIX | any | Transition probability matrix | |
| Outputs | OUTPUT | any | A posteriori probability |
| Parameters | none |
MatProduct (Matrix)
Matrix x vector product
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input vector |
| MATRIX | Matrix<float> | Matrix | |
| Outputs | OUTPUT | Vector<float> | Result |
| Parameters | none |
Max (Operator)
The maximum value
| Name | Type | Description | |
| Inputs | INPUT1 | any | First value |
| INPUT2 | any | Second value | |
| Outputs | OUTPUT | any | The maximum value between INPUT1 and INPUT2 |
| Parameters | none |
Mel (DSP:TimeFreq)
calculates Mel-scale channel energies from power-spectrum
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input power-spectrum |
| Outputs | OUTPUT | Vector<float> | Mel-scale channel energies |
| Parameters | INPUTLENGTH | int | Power-spectrum size |
| OUTPUTLENGTH | int | Number of channel energies | |
| SAMPLING | int | Sampling rate used (used for power-spectrum range) | |
| LOW | int | Lowest frequency | |
| HIGH | int | Highest frequency |
MergeChannels (DSP:Audio)
No description available
| Name | Type | Description | |
| Inputs | LEFT | any | No description available |
| RIGHT | any | No description available | |
| Outputs | OUTPUT | any | No description available |
| Parameters | none |
Min (Operator)
Selects the minimum between two values
| Name | Type | Description | |
| Inputs | INPUT1 | any | The first value |
| INPUT2 | any | The second value | |
| Outputs | OUTPUT | any | The minimum value between INPUT1 and INPUT2 |
| Parameters | none |
Mul (Operator)
Multiplication between two values, vectors, objects (operator* must be defined)
| Name | Type | Description | |
| Inputs | INPUT1 | any | The first operand |
| INPUT2 | any | The second operand | |
| Outputs | OUTPUT | any | The result of INPUT1 * INPUT2 |
| Parameters | none |
MultiPlotProbe (Probe)
Plots multiple vectors using GtkPlot
| Name | Type | Description | |
| Inputs | INPUT | Vector<ObjectRef> | Input vectors |
| Outputs | OUTPUT | Vector<float> | Same as input |
| Parameters | BREAK_AT | int | If set, the probe runs until (count = BREAK_AT) |
| SHOW | bool | Whether or not to show the the data by default | |
| SKIP | int | Count increment for each "Next" | |
| PROBE_NAME | string | Name (title) of the probe |
NLMS (DSP:Adaptive)
Normalized LMS algorithm
| Name | Type | Description | |
| Inputs | INPUT | any | The input of the adaptive FIR filter |
| REF | any | The signal being tracked | |
| Outputs | OUTPUT | any | The output of the adaptive FIR filter (not the residue) |
| Parameters | FILTER_LENGTH | any | Length of the adaptive FIR filter |
| ALPHA | any | Adaptation rate of the filter coefficients | |
| BETA | any | Adaptation rate of the normalization energy estimate | |
| POWER | any | Normalization power |
NNetExec (NNet)
(require: FFNet)
No description available
| Name | Type | Description | |
| Inputs | INPUT | any | No description available |
| NNET | any | No description available | |
| Outputs | OUTPUT | any | No description available |
| Parameters | OUTPUTLENGTH | any | No description available |
NNetExecRecurrent (NNet)
No description available
| Name | Type | Description | |
| Inputs | INPUT | any | No description available |
| NNET | any | No description available | |
| Outputs | OUTPUT | any | No description available |
| Parameters | OUTPUTLENGTH | any | No description available |
NNetInit (NNet)
(require: FFNet)
Initialized the neural network weights to fit the input/output set
| Name | Type | Description | |
| Inputs | TRAIN_IN | Vector<ObjectRef> | Training input data |
| TRAIN_OUT | Vector<ObjectRef> | Training output data | |
| Outputs | OUTPUT | FFNet | Initialized feed-forward neural network |
| Parameters | TOPO | string | Number of units on each layer (including input and output layers) |
| FUNCTIONS | string | Activation functions for each layer (except the input layer) | |
| RAND_SEED | int | Sets to random seed to RAND_SEED before initialization |
NNetNew (NNet)
Returns a new (MLP) neural network
| Name | Type | Description | |
| Inputs | none | ||
| Outputs | OUTPUT | NNet | New (MLP) neural network |
| Parameters | TOPO | Vector<string> | No description available |
NNetSetCalc (NNet)
No description available
| Name | Type | Description | |
| Inputs | INPUT | any | No description available |
| ID | any | No description available | |
| NNET | any | No description available | |
| Outputs | OUTPUT | any | No description available |
| Parameters | OUTPUTLENGTH | any | No description available |
NNetSetChooseBest (NNet)
Initialized the neural network weights to fit the input/output set
| Name | Type | Description | |
| Inputs | TRAIN_IN | any | No description available |
| TRAIN_OUT | any | No description available | |
| TRAIN_ID | any | No description available | |
| NET1 | any | No description available | |
| NET2 | any | No description available | |
| Outputs | OUTPUT | any | No description available |
| Parameters | none |
NNetSetInit (NNet)
Initialized the neural network weights to fit the input/output set
| Name | Type | Description | |
| Inputs | TRAIN_IN | any | No description available |
| TRAIN_OUT | any | No description available | |
| TRAIN_ID | any | No description available | |
| Outputs | OUTPUT | any | No description available |
| Parameters | NB_NETS | any | No description available |
| TOPO | any | No description available | |
| FUNCTIONS | any | No description available | |
| RAND_SEED | any | No description available |
NNetSetTrain (NNet)
No description available
| Name | Type | Description | |
| Inputs | TRAIN_IN | any | No description available |
| TRAIN_OUT | any | No description available | |
| TRAIN_ID | any | No description available | |
| NNET | any | No description available | |
| Outputs | OUTPUT | any | No description available |
| Parameters | MAX_EPOCH | any | No description available |
| LEARN_RATE | any | No description available | |
| MOMENTUM | any | No description available | |
| INCREASE | any | No description available | |
| DECREASE | any | No description available | |
| ERR_RATIO | any | No description available | |
| BATCH_SETS | any | No description available |
NNetSetTrainCGB (NNet)
No description available
| Name | Type | Description | |
| Inputs | TRAIN_IN | any | No description available |
| TRAIN_OUT | any | No description available | |
| TRAIN_ID | any | No description available | |
| NNET | any | No description available | |
| Outputs | OUTPUT | any | No description available |
| Parameters | MAX_EPOCH | any | No description available |
| SIGMA | any | No description available | |
| LAMBDA | any | No description available |
NNetSetTrainDBD (NNet)
No description available
| Name | Type | Description | |
| Inputs | TRAIN_IN | any | No description available |
| TRAIN_OUT | any | No description available | |
| TRAIN_ID | any | No description available | |
| NNET | any | No description available | |
| Outputs | OUTPUT | any | No description available |
| Parameters | MAX_EPOCH | any | No description available |
| LEARN_RATE | any | No description available | |
| INCREASE | any | No description available | |
| DECREASE | any | No description available |
NNetTrain (NNet)
(require: FFNetTrain)
No description available
| Name | Type | Description | |
| Inputs | TRAIN_IN | any | No description available |
| TRAIN_OUT | any | No description available | |
| NNET | any | No description available | |
| Outputs | OUTPUT | any | No description available |
| Parameters | MAX_EPOCH | any | No description available |
| LEARN_RATE | any | No description available | |
| MOMENTUM | any | No description available | |
| INCREASE | any | No description available | |
| DECREASE | any | No description available | |
| ERR_RATIO | any | No description available | |
| BATCH_SETS | any | No description available |
NNetTrainCGB (NNet)
(require: FFNetTrain)
No description available
| Name | Type | Description | |
| Inputs | TRAIN_IN | any | No description available |
| TRAIN_OUT | any | No description available | |
| NNET | any | No description available | |
| Outputs | OUTPUT | any | No description available |
| Parameters | MAX_EPOCH | any | No description available |
| SIGMA | any | No description available | |
| LAMBDA | any | No description available |
NNetTrainDBD (NNet)
(require: FFNetTrain)
Neural network (MLP) training unsing the Delta-bar-delta algorithm
| Name | Type | Description | |
| Inputs | TRAIN_IN | Vector<ObjectRef> | Input data accumulator |
| TRAIN_OUT | Vector<ObjectRef> | Output data accumulator | |
| NNET | FFNet | Neural network that will be trained | |
| Outputs | OUTPUT | FFNet | Trained network |
| Parameters | MAX_EPOCH | int | Number of training epoch (default 2000) |
| LEARN_RATE | float | Initial learning rate (default 0.000001) | |
| INCREASE | float | Learning rate increment (> 1.0) factor (default 1.04) | |
| DECREASE | float | Learning rate decrement (< 1.0) factor (default 0.6) | |
| NB_SETS | int | Number of batch subsets for accelerated training (default 1) | |
| ALLOC_CHUNK | bool | If true, a big vector is allocated to store all the inputs (default false) | |
| RPROP | bool | If true, use the RProp variant of delta-bar-delta (default false) |
NNetTrainQProp (NNet)
(require: FFNetTrain)
Neural network (MLP) training unsing the Quickprop algorithm
| Name | Type | Description | |
| Inputs | TRAIN_IN | Vector<ObjectRef> | Input data accumulator |
| TRAIN_OUT | Vector<ObjectRef> | Output data accumulator | |
| NNET | FFNet | Neural network that will be trained | |
| Outputs | OUTPUT | FFNet | Trained network |
| Parameters | MAX_EPOCH | int | Number of training epoch (default 2000) |
| LEARN_RATE | float | Initial learning rate (default 0.000001) | |
| INCREASE | float | Learning rate increment (> 1.0) factor (default 1.04) | |
| DECREASE | float | Learning rate decrement (< 1.0) factor (default 0.6) |
NNetTrainRecurDBD (NNet)
(require: FFNetTrain)
No description available
| Name | Type | Description | |
| Inputs | TRAIN_IN | any | No description available |
| TRAIN_OUT | any | No description available | |
| NNET | any | No description available | |
| Outputs | OUTPUT | any | No description available |
| Parameters | MAX_EPOCH | any | No description available |
| LEARN_RATE | any | No description available | |
| MOMENTUM | any | No description available | |
| INCREASE | any | No description available | |
| DECREASE | any | No description available | |
| BATCH_SETS | any | No description available |
NNetTrainRecurrent (NNet)
(require: FFNetTrain)
No description available
| Name | Type | Description | |
| Inputs | TRAIN_IN | any | No description available |
| TRAIN_OUT | any | No description available | |
| NNET | any | No description available | |
| Outputs | OUTPUT | any | No description available |
| Parameters | MAX_EPOCH | any | No description available |
| LEARN_RATE | any | No description available | |
| MOMENTUM | any | No description available | |
| INCREASE | any | No description available | |
| DECREASE | any | No description available |
NNetTrainSCG (NNet)
(require: FFNetTrain)
Neural network (MLP) training unsing the scaled conjugate gradient algorithm
| Name | Type | Description | |
| Inputs | TRAIN_IN | Vector<ObjectRef> | Input data accumulator |
| TRAIN_OUT | Vector<ObjectRef> | Output data accumulator | |
| NNET | FFNet | Neural network that will be trained | |
| Outputs | OUTPUT | FFNet | Trained network |
| Parameters | MAX_EPOCH | int | Number of training epoch (default 2000) |
| SIGMA | float | Sigma parameter | |
| LAMBDA | float | Lambda parameter |
NNetTrainWeightDBD (NNet)
(require: FFNetTrain)
Neural network (MLP) training unsing the Delta-bar-delta algorithm
| Name | Type | Description | |
| Inputs | TRAIN_IN | Vector<ObjectRef> | Input data accumulator |
| TRAIN_OUT | Vector<ObjectRef> | Output data accumulator | |
| TRAIN_WEIGHT | Vector<ObjectRef> | Error weights for training | |
| NNET | FFNet | Neural network that will be trained | |
| Outputs | OUTPUT | FFNet | Trained network |
| Parameters | MAX_EPOCH | int | Number of training epoch (default 2000) |
| LEARN_RATE | float | Initial learning rate (default 0.000001) | |
| INCREASE | float | Learning rate increment (> 1.0) factor (default 1.04) | |
| DECREASE | float | Learning rate decrement (< 1.0) factor (default 0.6) |
NOP (General)
Pass Through (no operation)
| Name | Type | Description | |
| Inputs | INPUT | any | The input |
| Outputs | OUTPUT | any | The output = The input |
| Parameters | none |
NOT (Logic)
Logical NOT of an input
| Name | Type | Description | |
| Inputs | INPUT | bool | Boolean input |
| Outputs | OUTPUT | bool | Boolean output |
| Parameters | none |
NewAccumulator (General)
Creates a new Accumulator, that is a vector of Objects References. Accumulators are often used as the input "ACCUM" of the node "Accumulate".
| Name | Type | Description | |
| Inputs | none | ||
| Outputs | OUTPUT | Vector<ObjectRef> | Empty accumulator |
| Parameters | none |
Noise (DSP:Misc)
Noise generator
| Name | Type | Description | |
| Inputs | none | ||
| Outputs | OUTPUT | Vector<float> | Noise signal (uncorrelated) |
| Parameters | LENGTH | int | Length of the generated noise signal (frame length) |
| TYPE | string | Noise type (UNIFORM, GAUSS, TRIANGLE) | |
| SD | float | Noise standard deviation |
Normalize (DSP:Base)
Normalizes a vector by dividing each element by the sum of all components
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input vector |
| Outputs | OUTPUT | Vector<float> | Normalized vector |
| Parameters | none |
OR (Logic)
Logical OR between two inputs
| Name | Type | Description | |
| Inputs | INPUT1 | bool | First boolean input |
| INPUT2 | bool | Second boolean input | |
| Outputs | OUTPUT | bool | Boolean output |
| Parameters | PULL_ANYWAY | bool | Pull on INPUT2 even if INPUT1 is true |
OffsetMatrix (DSP:Manip)
Returns a matrix of frames with offset
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input frame |
| Outputs | OUTPUT | Matrix<float> | Matrix (ready for SVD, ...) |
| Parameters | COLUMNS | int | Number of columns (subframe length) |
| ROWS | int | Number of rows (number of offsets) |
OutputStream (IO)
Creates a write-only stream from a filename
| Name | Type | Description | |
| Inputs | INPUT | string | The file name |
| Outputs | OUTPUT | Stream | The Stream |
| Parameters | TYPE | string | Type of stream: stream, fd, or FILE (default stream) |
Overlap (DSP:Manip)
Outputs overlapping frames from non-overlapping ones
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | (Non-overlapped) input frames |
| Outputs | OUTPUT | Vector<float> | Overlapped output frames |
| Parameters | OUTPUTLENGTH | int | Frame length for output overlapped frames |
OverlapAndAdd (DSP:Audio)
No description available
| Name | Type | Description | |
| Inputs | INPUT | any | No description available |
| Outputs | OUTPUT | any | No description available |
| Parameters | none |
PS (DSP:TimeFreq)
Converts the output of the FFT (not RFFT) node to a power spectrum
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Spectrum output from FFT |
| Outputs | OUTPUT | Vector<float> | Power spectrum (half the input length) |
| Parameters | none |
PS2LPC (DSP:Adaptive)
(require: FFT)
Computes LPC coefficients from the spectral envelope of the all-pole filter
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Spectral envelope |
| Outputs | OUTPUT | Vector<float> | LPC coefficients |
| Parameters | INPUTLENGTH | int | Number of points in the spectral envelope |
| OUTPUTLENGTH | int | Number of LPC coefficients (order + 1) | |
| LAG_THETA | float | Lag-windowing parameter (roughly the minimum bandwidth of resonances) |
Pack (Flow)
Pack Data into a vector of Objects references. When the node is in the main network or in a sub-network, his input is packed in the vector only once. However while in iterators, his input is packed (added) in the vector at every iteration.
| Name | Type | Description | |
| Inputs | INPUT | any | Objects to be packed (until processCount reached) |
| Outputs | OUTPUT | Vector<ObjectRef> | A vector of ObjectRef(s) |
| Parameters | none |
PackFrames (DSP:Base)
No description available
| Name | Type | Description | |
| Inputs | INPUT | any | No description available |
| Outputs | OUTPUT | any | No description available |
| Parameters | LENGTH | any | No description available |
| BACK | any | No description available | |
| FRONT | any | No description available |
ParallelThread (Flow)
Provides parallelism-type threading. When asked for an input, it computes both inputs at the same time and caches the other.
| Name | Type | Description | |
| Inputs | INPUT1 | any | First parallelized input |
| INPUT2 | any | Second parallelized input | |
| Outputs | OUTPUT1 | any | First parallelized output |
| OUTPUT2 | any | Second parallelized output | |
| Parameters | none |
PlotProbe (Probe)
No description available
| Name | Type | Description | |
| Inputs | INPUT | any | No description available |
| Outputs | OUTPUT | any | No description available |
| Parameters | BREAK_AT | any | No description available |
| SHOW | any | No description available | |
| SKIP | any | No description available |
Poly (DSP:Base)
No description available
| Name | Type | Description | |
| Inputs | INPUT | any | No description available |
| COEF | any | No description available | |
| Outputs | OUTPUT | any | No description available |
| Parameters | none |
Pow (DSP:Base)
Raises the input vector to a certain power
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input vector |
| Outputs | OUTPUT | Vector<float> | Result: INPUT. |
| Parameters | EXP | float | Exponent |
Print (IO)
No description available
| Name | Type | Description | |
| Inputs | INPUT | any | No description available |
| Outputs | OUTPUT | any | No description available |
| Parameters | none |
Probe (Probe)
Helps debugging by allowing to "trace" programs
| Name | Type | Description | |
| Inputs | INPUT | any | Any data |
| Outputs | OUTPUT | any | Pass through |
| Parameters | BREAK_AT | int | If set, the probe runs until (count = BREAK_AT) |
| SHOW | bool | Whether or not to show the the data by default | |
| SKIP | int | Count increment for each "Next" | |
| PROBE_NAME | string | Name (title) of the probe |
RBFTrain (VQ)
No description available
| Name | Type | Description | |
| Inputs | FRAMES | any | No description available |
| Outputs | OUTPUT | any | No description available |
| Parameters | NB_GAUSSIANS | any | No description available |
RFFT (DSP:TimeFreq)
(require: FFT)
Computes the FFT of a real input vector and output a complex result
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Real vector |
| Outputs | OUTPUT | Vector<complex> | Complex FFT output |
| Parameters | none |
RMS (DSP:Misc)
Root mean squared (RMS) value of a signal
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | The input signal |
| Outputs | OUTPUT | Vector<float> | The RMS value |
| Parameters | none |
ReadInt (IO)
ReadInt an integer from file
| Name | Type | Description | |
| Inputs | STREAM | Stream | The stream we are loading from |
| Outputs | OUTPUT | int | The (next) integer in the stream |
| Parameters | none |
Receive (IO)
Receive data from a TCP/IP network (Not working yet)
| Name | Type | Description | |
| Inputs | none | ||
| Outputs | OUTPUT | any | No description available |
| Parameters | VALUE | any | No description available |
Recover (Flow)
Recovers from an error (BaseException)
| Name | Type | Description | |
| Inputs | INPUT | any | Normal flow |
| CATCH | any | Flow to follow if an error (exception) is caught | |
| Outputs | OUTPUT | any | Flow output |
| EXCEPTION | String | The error message caught (use only as feedback link) | |
| Parameters | none |
Reframe (DSP:Manip)
Applies a window on a frame
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input frame |
| Outputs | OUTPUT | Vector<float> | Reframeed frame |
| Parameters | LENGTH | int | Length of the frames |
| ADVANCE | int | Frame advance (offset) |
Reverb (DSP:Effects)
(require: Reverb)
Stereo reverb effect
| Name | Type | Description | |
| Inputs | LEFT | Vector<float> | Right Input Channel |
| RIGHT | Vector<float> | Left Input Channel | |
| Outputs | LEFT | Vector<float> | Right Output Channel |
| RIGHT | Vector<float> | Left Output Channel | |
| Parameters | ROOMSIZE | float | 0 < Room Size < 1 (default = .5) |
| DAMP | float | 0 < Damp < 1 (default = .5) | |
| WET | float | 0 < Wet < 1 (default = 1/3) | |
| DRY | float | 0 < Dry < 1 (default = 0) | |
| WIDTH | float | 0 < Width < 1 (default = 1) |
Round (Found)
Rounds a float values to the nearest integer
| Name | Type | Description | |
| Inputs | INPUT | float | The input float |
| Outputs | OUTPUT | int | Nearest integer |
| Parameters | none |
SampleAndHold (Flow)
Downsamples in the "count" domain
| Name | Type | Description | |
| Inputs | INPUT | any | The input x[count] |
| Outputs | OUTPUT | any | x[count - (count "modulo" FACTOR)] |
| Parameters | DOWNSAMPLING | int | The downsampling factor |
SampleDelay (DSP:Base)
No description available
| Name | Type | Description | |
| Inputs | INPUT | any | No description available |
| DELAY | any | No description available | |
| Outputs | OUTPUT | any | No description available |
| Parameters | LENGTH | any | No description available |
| DELAY | any | No description available | |
| LOOKBACK | any | No description available | |
| LOOKAHEAD | any | No description available |
Saturate (DSP:Effects)
Saturation (distortion) effect
| Name | Type | Description | |
| Inputs | INPUT | any | No description available |
| Outputs | OUTPUT | any | No description available |
| Parameters | SATURATION | any | No description available |
| THRESHOLD | any | No description available |
Save (IO)
Takes an object and saves it using a stream, returns the input object
| Name | Type | Description | |
| Inputs | OBJECT | any | The object that will be saved |
| STREAM | Stream | The output stream where to save | |
| Outputs | OUTPUT | any | The input object |
| Parameters | PRETTY_PRINT | bool | If we want to print human readable output (and Matlab) |
SaveAs (IO)
No description available
| Name | Type | Description | |
| Inputs | INPUT | any | No description available |
| Outputs | OUTPUT | any | No description available |
| Parameters | FILENAME | string | No description available |
Select (Vector)
Selects an index range in an input vector
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input vector |
| Outputs | OUTPUT | Vector<float> | Output vector (size = END-START+1) |
| Parameters | START | int | Start index (inculded) |
| END | int | End index (included) |
Send (General)
Send data through network (Not Working Yet)
| Name | Type | Description | |
| Inputs | none | ||
| Outputs | OUTPUT | any | No description available |
| Parameters | VALUE | string | No description available |
SeparChannels (DSP:Audio)
No description available
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Stero frame (encoded as left, right, left, right, ...) |
| Outputs | LEFT | Vector<float> | Frame for the left channel |
| RIGHT | Vector<float> | Frame for the right channel | |
| Parameters | none |
SerialThread (Flow)
Provides a pipeline-type multi-threading. A thread is started and computes inputs before the are needed by the output node.
| Name | Type | Description | |
| Inputs | INPUT | any | Flow input (asynchronous flow) |
| Outputs | OUTPUT | any | Output flow (synchronous) |
| Parameters | LOOKAHEAD | int | Pipeline look-ahead |
Serialize (IO)
Takes an object and saves it using a stream, returns the input object
| Name | Type | Description | |
| Inputs | OBJECT | any | The object that will be saved |
| STREAM | Stream | The output stream where to save | |
| Outputs | OUTPUT | any | The input object |
| Parameters | none |
SerializeAs (IO)
No description available
| Name | Type | Description | |
| Inputs | INPUT | any | No description available |
| Outputs | OUTPUT | any | No description available |
| Parameters | FILENAME | string | No description available |
Sleep (Flow)
Sleep a certain amount of time.
| Name | Type | Description | |
| Inputs | none | ||
| Outputs | VALUE | any | Always return TRUE. |
| Parameters | SECONDS | float | Sleep x seconds. |
Smaller (Logic)
Verifies if INPUT1 is smaller than INPUT2
| Name | Type | Description | |
| Inputs | INPUT1 | any | The first operand |
| INPUT2 | any | The second operand | |
| Outputs | OUTPUT | any | Boolean output |
| Parameters | none |
SmoothAdd (DSP:Manip)
No description available
| Name | Type | Description | |
| Inputs | LEFT | any | No description available |
| CENTER | any | No description available | |
| RIGHT | any | No description available | |
| Outputs | OUTPUT | any | No description available |
| Parameters | LENGTH | any | No description available |
Socket (Network)
Create a network socket of any type
| Name | Type | Description | |
| Inputs | none | ||
| Outputs | OUTPUT | socket | The socket to be used for input/output operations |
| Parameters | TYPE | string | Type of socket : BROADCAST, TCP_STREAM, etc. |
| PORT | int | Communication port |
Sort (DSP:Base)
Sorts an input vector
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input vector |
| Outputs | OUTPUT | Vector<float> | Sorted output vector |
| Parameters | none |
Sound (DSP:Audio)
Opens a sound device
| Name | Type | Description | |
| Inputs | none | ||
| Outputs | OUTPUT | any | A file descriptor to the sound device |
| Parameters | DEVICE | string | Path to the sound device |
| RATE | int | Sampling rate | |
| STEREO | int | 1 for stereo, 0 for mono | |
| MODE | string | R for sound input, W for sound output, RW for full-duplex mode | |
| BUFFER | int | Length of the audio buffer to allocate (not reliable) | |
| DUMMY | any | Put something here to output to a file |
SpectrumProbe (Probe)
No description available
| Name | Type | Description | |
| Inputs | INPUT | any | No description available |
| Outputs | OUTPUT | any | No description available |
| Parameters | BREAK_AT | int | No description available |
| SHOW | bool | No description available | |
| SKIP | int | No description available | |
| SQRT | bool | No description available | |
| LOG | bool | No description available |
Sqrt (DSP:Base)
Square root of a vector
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input vector |
| Outputs | OUTPUT | Vector<float> | Result vector of square root |
| Parameters | none |
Stderr (IO)
Returns the stderr stream (cerr)
| Name | Type | Description | |
| Inputs | none | ||
| Outputs | OUTPUT | Stream | Stderr stream |
| Parameters | none |
Stdin (IO)
Returns the stdin stream (cin)
| Name | Type | Description | |
| Inputs | none | ||
| Outputs | OUTPUT | Stream | Stdin stream |
| Parameters | none |
Stdout (IO)
Returns the stdout stream (cout)
| Name | Type | Description | |
| Inputs | none | ||
| Outputs | OUTPUT | Stream | Stdout stream |
| Parameters | none |
StopRecord (DSP:Misc)
For SV
| Name | Type | Description | |
| Inputs | INPUT | bool | frame by frame |
| Outputs | OUTPUT | bool | false when should stop |
| Parameters | START | int | Number of true frames before start |
| TIMEOUT | int | Number of false frames before end |
StrCat (ZDeprecated)
Concatenates two strings together (deprecated, use Concat instead)
| Name | Type | Description | |
| Inputs | INPUT1 | String | First input string |
| INPUT2 | String | Second input string | |
| Outputs | OUTPUT | String | Concatenated strings |
| Parameters | none |
Sub (Operator)
Subtracts two values, Vectors, Objects
| Name | Type | Description | |
| Inputs | INPUT1 | any | The value to subtract from |
| INPUT2 | any | The subtracted value | |
| Outputs | OUTPUT | any | The result of the subtraction |
| Parameters | none |
Sum (Vector)
Sum of all the elements of a vector
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | The input vector |
| Outputs | OUTPUT | float | The sum |
| Parameters | none |
Sync (Flow)
No-op node for which count ratio (getInput/getOutput) = RATIO
| Name | Type | Description | |
| Inputs | INPUT | any | Input |
| Outputs | OUTPUT | any | Output (no-op) same as input with different count |
| Parameters | RATIO | any | (input/output) count ratio |
TextProbe (Probe)
Prints the data as text
| Name | Type | Description | |
| Inputs | INPUT | any | Any data |
| Outputs | OUTPUT | any | Pass through |
| Parameters | BREAK_AT | int | If set, the probe runs until (count = BREAK_AT) |
| SHOW | bool | Whether or not to show the the data by default | |
| SKIP | int | Count increment for each "Next" | |
| PROBE_NAME | string | Name (title) of the probe |
ThreadJoin (Flow)
Acts like a mutex and prevents two Overflow threads from accessing the same (input) node at the same time.
| Name | Type | Description | |
| Inputs | INPUT | any | The input |
| Outputs | OUTPUT | any | The output = The input |
| Parameters | none |
Throw (Flow)
Throw a FlowException
| Name | Type | Description | |
| Inputs | INPUT | any | The Object included in the FlowException |
| Outputs | OUTPUT | any | Will automatically throw a FlowException if pulled |
| Parameters | none |
TimeAutocorr (DSP:Misc)
Autocorrelation across vectors (frames)
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input vectors (frames) |
| Outputs | OUTPUT | Vector<float> | Autocorrelations (summed) for each delay |
| Parameters | INPUTLENGTH | int | Length ov input vectors |
| LOOKAHEAD | int | Maximum forward (non-causal) delay | |
| LOOKBACK | int | Maximum backward (causal) delay |
TimeEntropy (DSP:Misc)
Non-stationnarity (pseudo-entropy) measure across vectors (frames)
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input vectors (frames) |
| Outputs | OUTPUT | Vector<float> | Value of the non-stationnarity measure (as a vector of 1 component) |
| Parameters | LOOKAHEAD | int | Maximum forward (non-causal) delay |
| LOOKBACK | int | Maximum backward (causal) delay |
TimeFilter (DSP:Filter)
Filters across vectors (frames)
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input vectors (frames) |
| Outputs | OUTPUT | Vector<float> | Filtered vectors |
| Parameters | LENGTH | int | Vector length |
| FIR | string | FIR part as <Vector<float> ... > | |
| IIR | string | IIR part as <Vector<float> ... > | |
| LOOKAHEAD | int | Non-causality (in frames) |
TimeMedian (DSP:Filter)
Performs median filtering across vectors (frames)
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input vectors (frames) |
| Outputs | OUTPUT | Vector<float> | Median-filtered vectors |
| Parameters | LENGTH | int | Vector size |
| LOOKAHEAD | int | Median look back (number of frames) | |
| LOOKBACK | int | Median look ahead (number of frames) |
Trace (Probe)
Pass Through, tracing initialization, requests, inputs and exceptions
| Name | Type | Description | |
| Inputs | INPUT | any | The input |
| Outputs | OUTPUT | any | The output = The input |
| Parameters | TAG | string | Tag to put on the lines |
TransMatrix (HMM)
No description available
| Name | Type | Description | |
| Inputs | INPUT | any | state numbers in a frame buffer |
| Outputs | OUTPUT | any | No description available |
| Parameters | NB_STATES | any | Number of HMM states |
| THRESHOLD | any | The minimum transition probability allowed |
TrapezoidalFunction (Fuzzy)
A Fuzzy Function to be included in a FuzzySet
| Name | Type | Description | |
| Inputs | none | ||
| Outputs | FUNCTION | Vector<ObjectRef> | The FuzzyFunction object |
| Parameters | A | float | A value |
| B | float | B value | |
| C | float | C value | |
| D | float | D value | |
| NAME | string | The name of the function |
TriangularFunction (Fuzzy)
No description available
| Name | Type | Description | |
| Inputs | none | ||
| Outputs | FUNCTION | Vector<ObjectRef> | The FuzzyFunction object |
| Parameters | A | float | A value |
| B | float | B value | |
| C | float | C value | |
| NAME | string | The name of the function |
UnPack (Flow)
Unpack data already packed. This node makes just the opposite of "Pack" and is often used with it.
| Name | Type | Description | |
| Inputs | INPUT | any | The packed vector |
| Outputs | OUTPUT | any | The single unpacked Object |
| NOT_END | any | True if there's still data | |
| Parameters | none |
UpSample (DSP:Base)
Upsamples a signal by inserting zeros at regular interval
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input frames |
| Outputs | OUTPUT | Vector<float> | Upsampled output |
| Parameters | FACTOR | int | Upsampling factor |
VMethod (General)
Applies a certain method on an object int or float. The name of the method to call can be: log, exp, sin or cos.
| Name | Type | Description | |
| Inputs | INPUT | int or float | Object on wich the method will be applied |
| Outputs | OUTPUT | int or float | Return value of the method |
| Parameters | METHOD | string | The name of the method to call |
VQClass (VQ)
(require: VQ)
No description available
| Name | Type | Description | |
| Inputs | INPUT | any | No description available |
| VQ | any | No description available | |
| Outputs | OUTPUT | any | No description available |
| Parameters | none |
VQCloseness (VQ)
No description available
| Name | Type | Description | |
| Inputs | INPUT | any | No description available |
| VQ | any | No description available | |
| Outputs | OUTPUT | any | No description available |
| Parameters | none |
VQTrain (VQ)
(require: VQ)
No description available
| Name | Type | Description | |
| Inputs | FRAMES | any | No description available |
| Outputs | OUTPUT | any | No description available |
| Parameters | MEANS | any | No description available |
| BINARY | any | No description available |
VQWeightMeans (VQ)
No description available
| Name | Type | Description | |
| Inputs | INPUT | any | No description available |
| VQ | any | No description available | |
| Outputs | OUTPUT | any | No description available |
| Parameters | OUTPUTLENGTH | any | No description available |
VQuantize (VQ)
(require: VQ)
No description available
| Name | Type | Description | |
| Inputs | INPUT | any | No description available |
| VQ | any | No description available | |
| Outputs | OUTPUT | any | No description available |
| Parameters | none |
VQuantizeDiff (VQ)
No description available
| Name | Type | Description | |
| Inputs | INPUT | any | No description available |
| VQ | any | No description available | |
| Outputs | OUTPUT | any | No description available |
| Parameters | LENGTH | any | No description available |
VarLoad (General)
Load a variable. The variable is pulled from a node of type: " VarStore "(General) which has the same given name. The node: " VarStore " can be declared in a different Overflow file, but must be declared before.
| Name | Type | Description | |
| Inputs | none | ||
| Outputs | OUTPUT | any | The variable value |
| Parameters | VARIABLE | string | The name of the variable t be loaded |
VarStore (General)
Store a variable under a specified name. The variable may be used in other Overflow files by the node: " VarLoad "(General).
| Name | Type | Description | |
| Inputs | INPUT | any | The value of the variable |
| Outputs | OUTPUT | any | The value of the variable |
| Parameters | VARIABLE | string | The variable name |
VectorCode (Vector)
Modifies a vector using C++ code
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input vector |
| Outputs | OUTPUT | Vector<float> | Output vector (after gain) |
| Parameters | CODE | string | C++ code inside function [void func(const float *x, float *y, int length)] |
Window (DSP:Base)
Applies a window on a frame
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | Input frame |
| Outputs | OUTPUT | Vector<float> | Windowed frame |
| Parameters | LENGTH | int | Length of the frames/window |
| WINDOW | string | Window type (HANNING, HAMMING, HALF_HANNING) | |
| SYMETRIC | bool | Symetric window, uses (length-1) for normalization |
WriteAudio (DSP:Audio)
Writes audio frames to the sound card (or any other) stream
| Name | Type | Description | |
| Inputs | OBJECT | Vector<float> | Audio frames |
| DEVICE | Stream | (Sound card) stream | |
| Outputs | OUTPUT | Vector<float> | Returning the input audio frames |
| Parameters | LEAD_IN | int | Number of zero frames to send before starting (for synchronization) |
ZCrossing (DSP:Misc)
Number of zero-crossing in a vector: count(v[i]*v[i+1]<0)
| Name | Type | Description | |
| Inputs | INPUT | Vector<float> | The input vector |
| Outputs | OUTPUT | float | Number of zero-crossing |
| Parameters | none |
dB (DSP:Base)
No description available
| Name | Type | Description | |
| Inputs | INPUT | any | No description available |
| Outputs | OUTPUT | any | No description available |
| Parameters | none |
undB (DSP:Base)
No description available
| Name | Type | Description | |
| Inputs | INPUT | any | No description available |
| Outputs | OUTPUT | any | No description available |
| Parameters | none |