List of available Overflow Nodes

AND	Abs	Accept
Accumulate	Action	AdaptMAP
Add	Amplitude	ArgMax
AudioStream	Autocor	BWExpan
BroadcastLoad	BroadcastSave	BuildDoc
CGain	CMCalc	CMS
CMTrain	Catch	ChannelSeparator
Collector	Concat	Concatenate
Conj	Connect	ConnectedComponent
Constant	ConstantVector	Convolution
CovarianceAccum	DCMatrix	DCT
DCVector	DTMF	Delay
DiagGMMScore	DiagGMMSetScore	Discard
Dist	Div	DownSample
Eig	Entropy	Equal
ExecStream	Exp	FDSaveFrame
FFT	FFTFlip	FIR
FLog	FMapCalc	FMapTrain
Feedback	Float2Vect	Floor
FrameLabel	FuzzyModelExec	FuzzyRule
FuzzySet	GCMS	GCMS2
GMMScore	GMMTrain	Gain
GenericModel	GetComposite	Greater
GtkPlotProbe	HistoVect	IDCT
IF	IIR	ILTF
IRFFT	Index	Index2Vector
InferenceModel	InputStream	IterCount
IterWall	Iterate	KernelConst
KeyPad	LPC	LPC2PS
LPFilter	LTF	LTP
Length	LinSolve	List
Listen	Load	LoadDoc
Log	MDCT	MFCC
MMIScore	MMITrain	MSVQTrain
MakeComposite	MakeDiagGMM	MarkovProb
MatProduct	Max	Mel
MergeChannels	Min	Mul
MultiPlotProbe	NLMS	NNetExec
NNetExecRecurrent	NNetInit	NNetNew
NNetSetCalc	NNetSetChooseBest	NNetSetInit
NNetSetTrain	NNetSetTrainCGB	NNetSetTrainDBD
NNetTrain	NNetTrainCGB	NNetTrainDBD
NNetTrainQProp	NNetTrainRecurDBD	NNetTrainRecurrent
NNetTrainSCG	NNetTrainWeightDBD	NOP
NOT	NewAccumulator	Noise
Normalize	OR	OffsetMatrix
OutputStream	Overlap	OverlapAndAdd
PPMReader	PPMWriter	PS
PS2LPC	Pack	PackFrames
ParallelThread	PixbufProbe	PixbufReader
PlotProbe	Poly	Pow
Probe	RBFTrain	RFFT
RMS	ReadInt	Receive
Recover	Reframe	Reverb
Round	SVD	SampleAndHold
SampleDelay	Saturate	Save
Select	Send	SeparChannels
SerialThread	Serialize	Sleep
Smaller	Smooth	SmoothAdd
Socket	SolveLS	Sort
Sound	Sqrt	SquareSum
Stderr	Stdin	Stdout
StopRecord	StrCat	Sub
Sum	Sync	TextProbe
ThreadJoin	Threshold	Throw
TimeAutocorr	TimeEntropy	TimeFilter
TimeMedian	Trace	TransMatrix
TrapezoidalFunction	TriangularFunction	UnPack
UpSample	VMethod	VQClass
VQCloseness	VQTrain	VQWeightMeans
VQuantize	VQuantizeDiff	VarLoad
VarStore	VectorCode	Window
WriteAudio	ZCrossing

Nodes Documentation

AND (Logic)

Logical AND between two inputs

	NAME	TYPE	MEANING
Inputs	INPUT1 INPUT2	bool bool	First boolean input 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	MEANING
Inputs	INPUT	Vector	Input vector
Outputs	OUTPUT	Vector	Output vector
Parameters	none

Accept (Network)

Create a network socket of any type

	NAME	TYPE	MEANING
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	MEANING
Inputs	INPUT ACCUM	any Vector	Input object Accumulator where to put the input
Outputs	OUTPUT	Vector	The input accumulator
Parameters	none

Action (General)

Pulls in order the inputs: BEFORE, INPUT and AFTER.

	NAME	TYPE	MEANING
Inputs	INPUT BEFORE AFTER	any any any	The input To be pulled before To be pulled after
Outputs	OUTPUT	any	The output = The input
Parameters	none

AdaptMAP (HMM)

Performs MAP adaptation (well, almost!)

	NAME	TYPE	MEANING
Inputs	FRAMES GMM	Vector GMM	Frame buffer GMM to be adapted
Outputs	OUTPUT	GMM	Adapted GMM
Parameters	none

Add (Operator)

Adds two input values and returns the result

	NAME	TYPE	MEANING
Inputs	INPUT1 INPUT2	any any	First value Second value
Outputs	OUTPUT	any	Result of the addition
Parameters	none

Amplitude (ZDeprecated)

Deprecated, use RMS instead

	NAME	TYPE	MEANING
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	MEANING
Inputs	INPUT	Vector	Input vector
Outputs	OUTPUT	Vector	Index 0 contains the maximum value, index 1 contains the index where the maximum is found
Parameters	START END	int int	Index where search is started Index where search ends

AudioStream (DSP:Audio)

Reads an audio stream and outputs frames

	NAME	TYPE	MEANING
Inputs	INPUT	Stream	An audio input stream (IStream, fd or FILE *)
Outputs	AUDIO NOT_EOF	Vector bool	Frames read True if we haven't reach the end of file yet
Parameters	LENGTH ADVANCE ENCODING STREAM_TYPE REWIND	int int string string bool	Length of the frames (in samples) Offset beween frames (in samples) Type of encoding (LIN16, ULAW, ALAW, LIN8, SPHERE) Type of stream (stream, fd, FILE) 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	MEANING
Inputs	INPUT	Vector	Input vector
Outputs	OUTPUT	Vector	Autocorrelation vector
Parameters	START END CONTINUOUS NORMALIZE NORMALIZE2	int int bool bool bool	Smallest lag offset (included) Largest lag offset (included) Use the previous frame also (cross-correlation) (default false) Energy normalization (default false) 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	MEANING
Inputs	INPUT	Vector	Original LPC filter
Outputs	OUTPUT	Vector	New "bandwidth expanded" LPC filter
Parameters	GAMMA	float	Pole radius factor

BroadcastLoad (IO)

Load an object from file (registered type)

	NAME	TYPE	MEANING
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	MEANING
Inputs	OBJECT SOCKET	any Stream	The object that will be saved The output stream where to save
Outputs	OUTPUT	any	The input object
Parameters	none

BuildDoc (General)

Builds a network from a document

	NAME	TYPE	MEANING
Inputs	INPUT	UIDocument	Loaded document
Outputs	OUTPUT	Network	built network
Parameters	none

CGain (DSP:Base)

No description available

	NAME	TYPE	MEANING
Inputs	INPUT GAIN	any any	No description available No description available
Outputs	OUTPUT	any	No description available
Parameters	none

CMCalc (VQ)

No description available

	NAME	TYPE	MEANING
Inputs	INPUT CM	any any	No description available 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	MEANING
Inputs	INPUT	Vector	Input frames (cepstrum)
Outputs	OUTPUT	Vector	CMS output frames
Parameters	LENGTH LOOKBACK LOOKAHEAD	int int int	Frame length (number of features) CMS window look-back (number of frames) CMS window look-ahead (number of frames)

CMTrain (VQ)

Trains a codebook map

	NAME	TYPE	MEANING
Inputs	TRAIN_IN TRAIN_OUT VQ	Vector Vector KMeans	Input feature accumulator Output feature accumulator Already trained vector quantizer
Outputs	OUTPUT	CodebookMap	Resulting codebook map
Parameters	none

Catch (Flow)

Catches an exception

	NAME	TYPE	MEANING
Inputs	INPUT CATCH	any any	Normal flow Flow to follow if an exception is caught
Outputs	OUTPUT EXCEPTION	any any	Flow output The exception caught (use only as feedback link)
Parameters	none

ChannelSeparator (Image)

No description available

	NAME	TYPE	MEANING
Inputs	IMAGE_IN	any	No description available
Outputs	RED_OUT GREEN_OUT BLUE_OUT	any any any	No description available No description available No description available
Parameters	none

Collector (Flow)

Pass through with unlimited number of input/output pairs

	NAME	TYPE	MEANING
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	MEANING
Inputs	INPUT1 INPUT2	any any	First value Second value
Outputs	OUTPUT	any	Result of the concatenation
Parameters	none

Concatenate (Vector)

Concatenates two vectors together (deprecated, use Concat instead)

	NAME	TYPE	MEANING
Inputs	INPUT1 INPUT2	Vector Vector	First input vector Second input vector
Outputs	OUTPUT	Vector	Concatenated vector
Parameters	none

Conj (DSP:Base)

Computes the complex conjugate of a vector

	NAME	TYPE	MEANING
Inputs	INPUT	Vector	Input vector
Outputs	OUTPUT	Vector	Conjugate vector
Parameters	none

Connect (Network)

Create a network socket of any type

	NAME	TYPE	MEANING
Inputs	SOCKET HOST	socket any	The socket to listen to The host we want to connect to.
Outputs	SOCKET	stream	The socket to be used for input/output operations
Parameters	none

ConnectedComponent (Image)

No description available

	NAME	TYPE	MEANING
Inputs	IMAGE_IN	any	No description available
Outputs	LIST_OUT	any	No description available
Parameters	X_SAMPLING Y_SAMPLING	any any	No description available No description available

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	MEANING
Inputs	none
Outputs	VALUE	any	The value (parameter)
Parameters	VALUE	any	The value

ConstantVector (ZDeprecated)

Creates a Constant vector

	NAME	TYPE	MEANING
Inputs	none
Outputs	OUTPUT	Vector	The vector
Parameters	VALUE	string	The string representation of the vector

Convolution (Image)

No description available

	NAME	TYPE	MEANING
Inputs	KERNEL_IN IMAGE_IN	any any	No description available No description available
Outputs	IMAGE_OUT	any	No description available
Parameters	none

CovarianceAccum (Matrix)

Updates (accumulate) a covariance matrix with an observation vector

	NAME	TYPE	MEANING
Inputs	INPUT MATRIX	Vector Matrix	Input (observation) vector Input (covariance) matrix
Outputs	OUTPUT	Matrix	Updated matrix (same object as input)
Parameters	none

DCMatrix (Matrix)

Creates a matrix of identical values

	NAME	TYPE	MEANING
Inputs	none
Outputs	OUTPUT	Matrix	The matrix
Parameters	ROWS COLUMNS VALUE	int int float	Number of rows Number of columns Value of each element

DCT (DSP:TimeFreq)

Fast implementation of the discrete cosine transform (DCT) using an FFT

	NAME	TYPE	MEANING
Inputs	INPUT	Vector	The input vector
Outputs	OUTPUT	Vector	The result of the DCT
Parameters	LENGTH FAST OUTPUTLENGTH	int bool int	Length of the DCT If true, the DCT is implemented using an FFT Number of coefficients to calculate (only if FAST=false)

DCVector (Vector)

Creates a vector of identical values

	NAME	TYPE	MEANING
Inputs	none
Outputs	OUTPUT	Vector	The vector
Parameters	LENGTH VALUE	int float	The vector length Value of each element

DTMF (DSP:Audio)

Generates a DTMF signal

	NAME	TYPE	MEANING
Inputs	INPUT	Vector	DTMF vectors (line/column, starting at 0)
Outputs	OUTPUT	Vector	DTMF frames
Parameters	LENGTH SAMPLING GAIN	int int float	Frame length Sampling Value of the gain

Delay (Flow)

Delay the input of DELAY iterations. Therefore, it can only be used in iterators.

	NAME	TYPE	MEANING
Inputs	INPUT	any	The input object
Outputs	OUTPUT	any	The output object = input object with a delay
Parameters	DELAY	int	The delay

DiagGMMScore (HMM)

Scores a DiagGMM

	NAME	TYPE	MEANING
Inputs	INPUT GMM	Vector DiagGMM	Input vector Input GMM (pdf)
Outputs	OUTPUT	Float	GMM score
Parameters	none

DiagGMMSetScore (HMM)

Scores a DiagGMM

	NAME	TYPE	MEANING
Inputs	INPUT GMM	Vector DiagGMM	Input vector Input GMM set (pdf's)
Outputs	OUTPUT	Vector	GMM scores
Parameters	none

Discard (General)

Discards the object pulled

	NAME	TYPE	MEANING
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	MEANING
Inputs	INPUT1 INPUT2	Vector Vector	First input vector Second input vector
Outputs	OUTPUT	Vector	Distance between INPUT1 and INPUT2
Parameters	none

Div (Operator)

Divides a numerator by a denominator

	NAME	TYPE	MEANING
Inputs	NUM DEN	any any	The numerator 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	MEANING
Inputs	INPUT	Vector	Downsampling input
Outputs	OUTPUT	Vector	Downsampled (by N) output
Parameters	FACTOR	int	Downsampling factor N

Eig (Matrix)

Finds the eigenvalues and eigenvectors of a matrix (A=V*D*V')

	NAME	TYPE	MEANING
Inputs	INPUT	Matrix	Input matrix A (N x N)
Outputs	VALUES VECTORS	Vector Matrix	Eigenvalues D (diag N) Eigenvectors V (N x N)
Parameters	none

Entropy (DSP:Misc)

Calculates the entropy of a vector

	NAME	TYPE	MEANING
Inputs	INPUT	Vector	Input vector
Outputs	OUTPUT	Vector	Entropy value (vector of 1)
Parameters	none

Equal (Operator)

Returns true if two input values are equal, false otherwise

	NAME	TYPE	MEANING
Inputs	INPUT1 INPUT2	any any	First value Second value
Outputs	OUTPUT	bool	True or false
Parameters	none

ExecStream (IO)

A command to be executed (stdout is streamed)

	NAME	TYPE	MEANING
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	MEANING
Inputs	INPUT	Vector	The input of the exponential
Outputs	OUTPUT	Vector	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	MEANING
Inputs	OBJECT FD	Vector FILEDES	Audio frames (Sound card) File descriptor
Outputs	OUTPUT	Vector	Returning the input audio frames
Parameters	LEAD_IN	int	Number of zero frames to send before starting (for synchronization)

FFT (DSP:TimeFreq)

Computes the real FFT of a float vector

	NAME	TYPE	MEANING
Inputs	INPUT	Vector	The input vector
Outputs	OUTPUT	Vector	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	MEANING
Inputs	INPUT	Vector	Half spectrum (real)
Outputs	OUTPUT	Vector	Symetric spectrum
Parameters	none

FIR (DSP:Filter)

Finite Impulse Response (FIR) filter

	NAME	TYPE	MEANING
Inputs	INPUT FILTER	Vector Vector	Input frame Filter coefficients
Outputs	OUTPUT	Vector	Filtered output
Parameters	CONTINUOUS NONCAUSAL	bool int	Should the frames be considered continuous (filter with memory). Default is true 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	MEANING
Inputs	INPUT	Vector	The input of the log
Outputs	OUTPUT	Vector	Result of the log
Parameters	none

FMapCalc (VQ)

Calculates the result of an hetero-associative map (trained by FMapTrain) for an input vector

	NAME	TYPE	MEANING
Inputs	INPUT FMAP	Vector FeatureMap	Input vector The feature map that will be used
Outputs	OUTPUT	Vector	Output features
Parameters	INPUTLENGTH OUTPUTLENGTH	int int	Number of input features Number of output features

FMapTrain (VQ)

Trains an hetero-associative map based on a decision tree.

	NAME	TYPE	MEANING
Inputs	TRAIN_IN TRAIN_OUT	Vector Vector	An accumulator with input features 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	MEANING
Inputs	INPUT BEFORE	any any	The input object When count < delay, pull the input from here
Outputs	OUTPUT DELAY	any any	The output object = input object The delayed output of DELAY iteration
Parameters	DELAY BEFORE_LIMIT	int int	Number of iteration for the delay When count - DELAY is smaller or equal to BEFORE_LIMIT, the input is pulled from BEFORE at (DELAY - count + BEFORE_LIMIT)

Float2Vect (Vector)

Converts float values to a vector of elements in past and future

	NAME	TYPE	MEANING
Inputs	INPUT	float	The input float
Outputs	OUTPUT	Vector	The vector
Parameters	LOOKAHEAD LOOKBACK	int int	Number of elements in the future Number of elements in the past

Floor (DSP:Base)

Floors vector values

	NAME	TYPE	MEANING
Inputs	INPUT	Vector	Input vector
Outputs	OUTPUT	Vector	Output vector (after flooring)
Parameters	THRESH	float	Threshold

FrameLabel (DSP:Audio)

Applies a gain to a vector

	NAME	TYPE	MEANING
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	MEANING
Inputs	MODEL INPUT	any any	The model to use 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	MEANING
Inputs	none
Outputs	RULE	Vector	The FuzzyRule Object
Parameters	IF THEN	string string	Antecedant of the rule seperated by spaces Consequent of the rule seperated by spaces

FuzzySet (Fuzzy)

A FuzzySet containing functions associated with names

	NAME	TYPE	MEANING
Inputs	FUNCTIONS	Vector	The Fuzzy Functions
Outputs	SET	Vector	The FuzzySet with multiple Fuzzy Functions
Parameters	NAME	string	The name of the set

GCMS (DSP:TimeFreq)

Growing-Window Cepstral Mean Subtraction

	NAME	TYPE	MEANING
Inputs	INPUT	Vector	Input frames
Outputs	OUTPUT	Vector	CMS output
Parameters	LENGTH	int	Frame lentgh (features)

GCMS2 (DSP:TimeFreq)

Growing-Window Cepstral Mean Subtraction, counting only speech

	NAME	TYPE	MEANING
Inputs	INPUT IS_SPEECH	Vector bool	Input frames Whether the frame is speech
Outputs	OUTPUT	Vector	CMS output
Parameters	LENGTH	int	Frame lentgh (features)

GMMScore (HMM)

Scores a GMM for a given frame

	NAME	TYPE	MEANING
Inputs	FRAMES GMM	Vector GMM	Frames that will be scored GMM used as dpf
Outputs	OUTPUT	Vector	Log-score (as a vector of 1)
Parameters	none

GMMTrain (HMM)

Trains a GMM using an accumulator of frames

	NAME	TYPE	MEANING
Inputs	FRAMES	Vector	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	MEANING
Inputs	INPUT	Vector	Input vector
Outputs	OUTPUT	Vector	Output vector (after gain)
Parameters	GAIN	float	Value of the gain

GenericModel (Fuzzy)

A generic Fuzzy controller

	NAME	TYPE	MEANING
Inputs	RULES ANTECEDENT_SETS CONSEQUENT_SETS INPUT	Vector Vector Vector Vector	The Rules to use The Sets to use The Sets to use The input value of the variables
Outputs	MODEL OUTPUT	Model Vector	The model (cloned) 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	MEANING
Inputs	INPUT	CompositeType	Composite object
Outputs	none
Parameters	none

Greater (Logic)

Verifies if INPUT1 > INPUT2

	NAME	TYPE	MEANING
Inputs	INPUT1 INPUT2	any any	The first operand The second operand
Outputs	OUTPUT	bool	bool value
Parameters	none

GtkPlotProbe (Probe)

Plots a vector using GtkPlot

	NAME	TYPE	MEANING
Inputs	INPUT	Vector	Input vector
Outputs	OUTPUT	Vector	Same as input
Parameters	BREAK_AT SHOW SKIP PROBE_NAME	int bool int string	If set, the probe runs until (count = BREAK_AT) Whether or not to show the the data by default Count increment for each "Next" Name (title) of the probe

HistoVect (DSP:Manip)

No description available

	NAME	TYPE	MEANING
Inputs	INPUT	any	No description available
Outputs	OUTPUT	any	No description available
Parameters	LENGTH	any	No description available

IDCT (DSP:TimeFreq)

Fast implementation of the inverse discrete cosine transform (IDCT) using an FFT

	NAME	TYPE	MEANING
Inputs	INPUT	Vector	The input vector
Outputs	OUTPUT	Vector	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	MEANING
Inputs	COND THEN ELSE	bool any any	The condition for the if statement What to do if the condition is true 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	MEANING
Inputs	INPUT FILTER	Vector Vector	Input signal (frames) Filter coefficients (denominator)
Outputs	OUTPUT	Vector	Filtered signal
Parameters	none

ILTF (DSP:Filter)

Inverse (all-pole) long-term (comb) filter

	NAME	TYPE	MEANING
Inputs	INPUT FILTER	Vector Vector	Input frame Filter params as [gain, period]
Outputs	OUTPUT	Vector	Filtered signal
Parameters	none

IRFFT (DSP:TimeFreq)

Inverse FFT, half complex to real vector

	NAME	TYPE	MEANING
Inputs	INPUT	Vector	Half complex vector
Outputs	OUTPUT	Vector	Real inverse FFT output
Parameters	none

Index (Vector)

Returns a float value from a vector

	NAME	TYPE	MEANING
Inputs	INPUT INDEX	Vector int	The input vector 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	MEANING
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	MEANING
Inputs	RULES ANTECEDENT_SETS CONSEQUENT_SETS INPUT	Vector Vector Vector Vector	The Rules to use The Sets to use The Sets to use The input value of the variables
Outputs	MODEL OUTPUT OUTPUT_SETS	Model Vector Vector	The model (cloned) The defuzzified values The copied consequent set(s)
Parameters	none

InputStream (IO)

Creates a read-only stream from a filename

	NAME	TYPE	MEANING
Inputs	INPUT	string	The file name
Outputs	OUTPUT	Stream	The Stream
Parameters	TYPE RETRY	String int	Type of stream: stream, fd, or FILE (default stream) If set to N, InputStream will retry N times on open fail

IterCount (Logic)

Get the iterator count (iteration number)

	NAME	TYPE	MEANING
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	MEANING
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	MEANING
Inputs	none
Outputs	OUTPUT	bool	Return true if count < MAX_ITER
Parameters	MAX_ITER	int	Number of iteration to do (max)

KernelConst (Image)

No description available

	NAME	TYPE	MEANING
Inputs	none
Outputs	KERNEL_OUT	any	No description available
Parameters	SIZE VALUES	any any	No description available No description available

KeyPad (Probe)

No description available

	NAME	TYPE	MEANING
Inputs	none
Outputs	KEYPAD KEYPAD_ID KEYPAD_NAME ACTIVATED	Vector int Char bool	A vector of size 2 representing the tuple Line/column of the pressed key. The Id of the key that is pressed The Char description of the key that is pressed True if the user is pressing a button, else false.
Parameters	none

LPC (DSP:Adaptive)

Performs LPC (Linear predictive coefficient) analysis

	NAME	TYPE	MEANING
Inputs	INPUT	Vector	Input (audio) vector
Outputs	OUTPUT	Vector	LPC coefficients (including a[0]=1)
Parameters	OUTPUTLENGTH RADIUS LAG_THETA	int float float	Number of LPC coefficients (order = OUTPUTLENGTH-1) Maximum radius of the poles (used for bandwidth expansion) Minimum resonnance bandwidth allowed (with lag-windowing, approximative)

LPC2PS (DSP:Adaptive)

Calculates the spectral envelope corresponding to an all-pole filter (LPC coefficients)

	NAME	TYPE	MEANING
Inputs	INPUT	Vector	LPC coefficients (including the '1' as first coefficient)
Outputs	OUTPUT	Vector	Points of the spectral envelope
Parameters	OUTPUTLENGTH	int	Number of points for the spectral envelope

LPFilter (DSP:Filter)

No description available

	NAME	TYPE	MEANING
Inputs	none
Outputs	OUTPUT	any	No description available
Parameters	LENGTH THETA HP	any any any	No description available No description available No description available

LTF (DSP:Filter)

Long-term (comb) filter

	NAME	TYPE	MEANING
Inputs	INPUT FILTER	any any	No description available 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	MEANING
Inputs	INPUT	Vector	Input frame
Outputs	OUTPUT	Vector	[pitch gain, pitch period]
Parameters	START END	int int	Smallest pitch allowed Largest pitch allowed

Length (Vector)

Get the length of a vector

	NAME	TYPE	MEANING
Inputs	INPUT	any	The vector input
Outputs	OUTPUT	int	The length of the vector
Parameters	none

LinSolve (Matrix)

Solves the A*x=b linear system

	NAME	TYPE	MEANING
Inputs	A B	Matrix Vector	The A matrix (N x N The b vector (N)
Outputs	OUTPUT	Vector	Result X (N)
Parameters	none

List (General)

Load a string from a file (seperated into chunks of 256 bytes)

	NAME	TYPE	MEANING
Inputs	STREAM	Stream	The stream to load from
Outputs	OUTPUT	Vector	The vector output
Parameters	none

Listen (Network)

Create a network socket of any type

	NAME	TYPE	MEANING
Inputs	SOCKET	socket	The socket to listen to
Outputs	SOCKET	socket	The socket to be used for input/output operations
Parameters	BACKLOG BLOCKING	int bool	Number of incoming connections allowed Blocking call to accept.

Load (IO)

Load an object from file (registered type)

	NAME	TYPE	MEANING
Inputs	STREAM	Stream	The stream we are loading from
Outputs	OUTPUT	any	The loaded object
Parameters	none

LoadDoc (General)

Loads an Overflow XML document

	NAME	TYPE	MEANING
Inputs	INPUT	string	Document name
Outputs	OUTPUT	UIDocument	loaded document
Parameters	none

Log (DSP:Base)

Computes the natural logarithm of a vector

	NAME	TYPE	MEANING
Inputs	INPUT	Vector	The input of the log
Outputs	OUTPUT	Vector	Result of the log
Parameters	FAST	bool	Should we use fast log approximation

MDCT (DSP:TimeFreq)

MDCT implementation (taken from Vorbis)

	NAME	TYPE	MEANING
Inputs	INPUT	Vector	Input frame
Outputs	OUTPUT	Vector	MDCT result
Parameters	LENGTH	int	Frame (not window) size

MFCC (ZDeprecated)

Calculates MFCC coefficients from an audio frame (all in one)

	NAME	TYPE	MEANING
Inputs	INPUT	any	No description available
Outputs	OUTPUT	any	No description available
Parameters	INPUTLENGTH OUTPUTLENGTH WINDOW SAMPLING LOW HIGH	any any any any any any	No description available No description available No description available No description available No description available No description available

MMIScore (VQ)

No description available

	NAME	TYPE	MEANING
Inputs	FRAMES MMI	any any	No description available No description available
Outputs	OUTPUT	any	No description available
Parameters	none

MMITrain (VQ)

Train Maximum Mutual Information (MMI) Tree

	NAME	TYPE	MEANING
Inputs	FRAMES	Vector	No description available
Outputs	OUTPUT	Cell	MMI tree
Parameters	LEVELS	int	Number of levels for the tree

MSVQTrain (VQ)

Training of a multi-stage vector quantizer

	NAME	TYPE	MEANING
Inputs	FRAMES	any	No description available
Outputs	OUTPUT	any	No description available
Parameters	STAGES BINARY	any any	No description available 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	MEANING
Inputs	none
Outputs	OUTPUT	any	Create a new composite object.
Parameters	none

MakeDiagGMM (HMM)

Transforms a GMM into a DiagGMM

	NAME	TYPE	MEANING
Inputs	INPUT	GMM	Input GMM
Outputs	OUTPUT	DiagGMM	Output DiagGMM
Parameters	none

MarkovProb (HMM)

Calculates the Markov chain probability

	NAME	TYPE	MEANING
Inputs	INPUT MATRIX	any any	State probability Transition probability matrix
Outputs	OUTPUT	any	A posteriori probability
Parameters	none

MatProduct (Matrix)

Matrix x vector product

	NAME	TYPE	MEANING
Inputs	INPUT MATRIX	Vector Matrix	Input vector Matrix
Outputs	OUTPUT	Vector	Result
Parameters	none

Max (Operator)

The maximum value

	NAME	TYPE	MEANING
Inputs	INPUT1 INPUT2	any any	First value 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	MEANING
Inputs	INPUT	Vector	Input power-spectrum
Outputs	OUTPUT	Vector	Mel-scale channel energies
Parameters	INPUTLENGTH OUTPUTLENGTH SAMPLING LOW HIGH	int int int int int	Power-spectrum size Number of channel energies Sampling rate used (used for power-spectrum range) Lowest frequency Highest frequency

MergeChannels (DSP:Audio)

No description available

	NAME	TYPE	MEANING
Inputs	LEFT RIGHT	any any	No description available No description available
Outputs	OUTPUT	any	No description available
Parameters	none

Min (Operator)

Selects the minimum between two values

	NAME	TYPE	MEANING
Inputs	INPUT1 INPUT2	any any	The first value 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	MEANING
Inputs	INPUT1 INPUT2	any any	The first operand The second operand
Outputs	OUTPUT	any	The result of INPUT1 * INPUT2
Parameters	none

MultiPlotProbe (Probe)

Plots multiple vectors using GtkPlot

	NAME	TYPE	MEANING
Inputs	INPUT	Vector	Input vectors
Outputs	OUTPUT	Vector	Same as input
Parameters	BREAK_AT SHOW SKIP PROBE_NAME	int bool int string	If set, the probe runs until (count = BREAK_AT) Whether or not to show the the data by default Count increment for each "Next" Name (title) of the probe

NLMS (DSP:Adaptive)

Normalized LMS algorithm

	NAME	TYPE	MEANING
Inputs	INPUT REF	any any	The input of the adaptive FIR filter The signal being tracked
Outputs	OUTPUT	any	The output of the adaptive FIR filter (not the residue)
Parameters	FILTER_LENGTH ALPHA BETA POWER	any any any any	Length of the adaptive FIR filter Adaptation rate of the filter coefficients Adaptation rate of the normalization energy estimate Normalization power

NNetExec (NNet)

No description available

	NAME	TYPE	MEANING
Inputs	INPUT NNET	any any	No description available No description available
Outputs	OUTPUT	any	No description available
Parameters	OUTPUTLENGTH	any	No description available

NNetExecRecurrent (NNet)

No description available

	NAME	TYPE	MEANING
Inputs	INPUT NNET	any any	No description available No description available
Outputs	OUTPUT	any	No description available
Parameters	OUTPUTLENGTH	any	No description available

NNetInit (NNet)

Initialized the neural network weights to fit the input/output set

	NAME	TYPE	MEANING
Inputs	TRAIN_IN TRAIN_OUT	Vector Vector	Training input data Training output data
Outputs	OUTPUT	FFNet	Initialized feed-forward neural network
Parameters	TOPO FUNCTIONS RAND_SEED	string string int	Number of units on each layer (including input and output layers) Activation functions for each layer (except the input layer) Sets to random seed to RAND_SEED before initialization

NNetNew (NNet)

Returns a new (MLP) neural network

	NAME	TYPE	MEANING
Inputs	none
Outputs	OUTPUT	NNet	New (MLP) neural network
Parameters	TOPO	Vector	No description available

NNetSetCalc (NNet)

No description available

	NAME	TYPE	MEANING
Inputs	INPUT ID NNET	any any any	No description available No description available 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	MEANING
Inputs	TRAIN_IN TRAIN_OUT TRAIN_ID NET1 NET2	any any any any any	No description available No description available No description available No description available 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	MEANING
Inputs	TRAIN_IN TRAIN_OUT TRAIN_ID	any any any	No description available No description available No description available
Outputs	OUTPUT	any	No description available
Parameters	NB_NETS TOPO FUNCTIONS RAND_SEED	any any any any	No description available No description available No description available No description available

NNetSetTrain (NNet)

No description available

	NAME	TYPE	MEANING
Inputs	TRAIN_IN TRAIN_OUT TRAIN_ID NNET	any any any any	No description available No description available No description available No description available
Outputs	OUTPUT	any	No description available
Parameters	MAX_EPOCH LEARN_RATE MOMENTUM INCREASE DECREASE ERR_RATIO BATCH_SETS	any any any any any any any	No description available No description available No description available No description available No description available No description available No description available

NNetSetTrainCGB (NNet)

No description available

	NAME	TYPE	MEANING
Inputs	TRAIN_IN TRAIN_OUT TRAIN_ID NNET	any any any any	No description available No description available No description available No description available
Outputs	OUTPUT	any	No description available
Parameters	MAX_EPOCH SIGMA LAMBDA	any any any	No description available No description available No description available

NNetSetTrainDBD (NNet)

No description available

	NAME	TYPE	MEANING
Inputs	TRAIN_IN TRAIN_OUT TRAIN_ID NNET	any any any any	No description available No description available No description available No description available
Outputs	OUTPUT	any	No description available
Parameters	MAX_EPOCH LEARN_RATE INCREASE DECREASE	any any any any	No description available No description available No description available No description available

NNetTrain (NNet)

No description available

	NAME	TYPE	MEANING
Inputs	TRAIN_IN TRAIN_OUT NNET	any any any	No description available No description available No description available
Outputs	OUTPUT	any	No description available
Parameters	MAX_EPOCH LEARN_RATE MOMENTUM INCREASE DECREASE ERR_RATIO BATCH_SETS	any any any any any any any	No description available No description available No description available No description available No description available No description available No description available

NNetTrainCGB (NNet)

No description available

	NAME	TYPE	MEANING
Inputs	TRAIN_IN TRAIN_OUT NNET	any any any	No description available No description available No description available
Outputs	OUTPUT	any	No description available
Parameters	MAX_EPOCH SIGMA LAMBDA	any any any	No description available No description available No description available

NNetTrainDBD (NNet)

Neural network (MLP) training unsing the Delta-bar-delta algorithm

	NAME	TYPE	MEANING
Inputs	TRAIN_IN TRAIN_OUT NNET	Vector Vector FFNet	Input data accumulator Output data accumulator Neural network that will be trained
Outputs	OUTPUT	FFNet	Trained network
Parameters	MAX_EPOCH LEARN_RATE INCREASE DECREASE NB_SETS ALLOC_CHUNK RPROP	int float float float int bool bool	Number of training epoch (default 2000) Initial learning rate (default 0.000001) Learning rate increment (> 1.0) factor (default 1.04) Learning rate decrement (< 1.0) factor (default 0.6) Number of batch subsets for accelerated training (default 1) If true, a big vector is allocated to store all the inputs (default false) If true, use the RProp variant of delta-bar-delta (default false)

NNetTrainQProp (NNet)

Neural network (MLP) training unsing the Quickprop algorithm

	NAME	TYPE	MEANING
Inputs	TRAIN_IN TRAIN_OUT NNET	Vector Vector FFNet	Input data accumulator Output data accumulator Neural network that will be trained
Outputs	OUTPUT	FFNet	Trained network
Parameters	MAX_EPOCH LEARN_RATE INCREASE DECREASE	int float float float	Number of training epoch (default 2000) Initial learning rate (default 0.000001) Learning rate increment (> 1.0) factor (default 1.04) Learning rate decrement (< 1.0) factor (default 0.6)

NNetTrainRecurDBD (NNet)

No description available

	NAME	TYPE	MEANING
Inputs	TRAIN_IN TRAIN_OUT NNET	any any any	No description available No description available No description available
Outputs	OUTPUT	any	No description available
Parameters	MAX_EPOCH LEARN_RATE MOMENTUM INCREASE DECREASE BATCH_SETS	any any any any any any	No description available No description available No description available No description available No description available No description available

NNetTrainRecurrent (NNet)

No description available

	NAME	TYPE	MEANING
Inputs	TRAIN_IN TRAIN_OUT NNET	any any any	No description available No description available No description available
Outputs	OUTPUT	any	No description available
Parameters	MAX_EPOCH LEARN_RATE MOMENTUM INCREASE DECREASE	any any any any any	No description available No description available No description available No description available No description available

NNetTrainSCG (NNet)

Neural network (MLP) training unsing the scaled conjugate gradient algorithm

	NAME	TYPE	MEANING
Inputs	TRAIN_IN TRAIN_OUT NNET	Vector Vector FFNet	Input data accumulator Output data accumulator Neural network that will be trained
Outputs	OUTPUT	FFNet	Trained network
Parameters	MAX_EPOCH SIGMA LAMBDA	int float float	Number of training epoch (default 2000) Sigma parameter Lambda parameter

NNetTrainWeightDBD (NNet)

Neural network (MLP) training unsing the Delta-bar-delta algorithm

	NAME	TYPE	MEANING
Inputs	TRAIN_IN TRAIN_OUT TRAIN_WEIGHT NNET	Vector Vector Vector FFNet	Input data accumulator Output data accumulator Error weights for training Neural network that will be trained
Outputs	OUTPUT	FFNet	Trained network
Parameters	MAX_EPOCH LEARN_RATE INCREASE DECREASE	int float float float	Number of training epoch (default 2000) Initial learning rate (default 0.000001) Learning rate increment (> 1.0) factor (default 1.04) Learning rate decrement (< 1.0) factor (default 0.6)

NOP (General)

Pass Through (no operation)

	NAME	TYPE	MEANING
Inputs	INPUT	any	The input
Outputs	OUTPUT	any	The output = The input
Parameters	none

NOT (Logic)

Logical NOT of an input

	NAME	TYPE	MEANING
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	MEANING
Inputs	none
Outputs	OUTPUT	Vector	Empty accumulator
Parameters	none

Noise (DSP:Misc)

Noise generator

	NAME	TYPE	MEANING
Inputs	none
Outputs	OUTPUT	Vector	Noise signal (uncorrelated)
Parameters	LENGTH TYPE SD	int string float	Length of the generated noise signal (frame length) Noise type (UNIFORM, GAUSS, TRIANGLE) Noise standard deviation

Normalize (DSP:Base)

Normalizes a vector by dividing each element by the sum of all components

	NAME	TYPE	MEANING
Inputs	INPUT	Vector	Input vector
Outputs	OUTPUT	Vector	Normalized vector
Parameters	none

OR (Logic)

Logical OR between two inputs

	NAME	TYPE	MEANING
Inputs	INPUT1 INPUT2	bool bool	First boolean input 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	MEANING
Inputs	INPUT	Vector	Input frame
Outputs	OUTPUT	Matrix	Matrix (ready for SVD, ...)
Parameters	COLUMNS ROWS	int int	Number of columns (subframe length) Number of rows (number of offsets)

OutputStream (IO)

Creates a write-only stream from a filename

	NAME	TYPE	MEANING
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	MEANING
Inputs	INPUT	Vector	(Non-overlapped) input frames
Outputs	OUTPUT	Vector	Overlapped output frames
Parameters	OUTPUTLENGTH	int	Frame length for output overlapped frames

OverlapAndAdd (DSP:Audio)

No description available

	NAME	TYPE	MEANING
Inputs	INPUT	any	No description available
Outputs	OUTPUT	any	No description available
Parameters	none

PPMReader (Image)

No description available

	NAME	TYPE	MEANING
Inputs	FILENAME	any	No description available
Outputs	IMAGE_OUT	any	No description available
Parameters	none

PPMWriter (Image)

No description available

	NAME	TYPE	MEANING
Inputs	FILENAME IMAGE_IN	any any	No description available No description available
Outputs	IMAGE_OUT	any	No description available
Parameters	none

PS (DSP:TimeFreq)

Converts the output of the FFT (not RFFT) node to a power spectrum

	NAME	TYPE	MEANING
Inputs	INPUT	Vector	Spectrum output from FFT
Outputs	OUTPUT	Vector	Power spectrum (half the input length)
Parameters	none

PS2LPC (DSP:Adaptive)

Computes LPC coefficients from the spectral envelope of the all-pole filter

	NAME	TYPE	MEANING
Inputs	INPUT	Vector	Spectral envelope
Outputs	OUTPUT	Vector	LPC coefficients
Parameters	INPUTLENGTH OUTPUTLENGTH LAG_THETA	int int float	Number of points in the spectral envelope Number of LPC coefficients (order + 1) 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	MEANING
Inputs	INPUT	any	Objects to be packed (until processCount reached)
Outputs	OUTPUT	Vector	A vector of ObjectRef(s)
Parameters	none

PackFrames (DSP:Base)

No description available

	NAME	TYPE	MEANING
Inputs	INPUT	any	No description available
Outputs	OUTPUT	any	No description available
Parameters	LENGTH BACK FRONT	any any any	No description available No description available 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	MEANING
Inputs	INPUT1 INPUT2	any any	First parallelized input Second parallelized input
Outputs	OUTPUT1 OUTPUT2	any any	First parallelized output Second parallelized output
Parameters	none

PixbufProbe (Video)

No description available

	NAME	TYPE	MEANING
Inputs	INPUT	any	No description available
Outputs	OUTPUT	any	No description available
Parameters	BREAK_AT SHOW SKIP	any any any	No description available No description available No description available

PixbufReader (Video)

No description available

	NAME	TYPE	MEANING
Inputs	FILENAME	any	No description available
Outputs	PIXBUF	any	No description available
Parameters	none

PlotProbe (Probe)

No description available

	NAME	TYPE	MEANING
Inputs	INPUT	any	No description available
Outputs	OUTPUT	any	No description available
Parameters	BREAK_AT SHOW SKIP	any any any	No description available No description available No description available

Poly (DSP:Base)

No description available

	NAME	TYPE	MEANING
Inputs	INPUT COEF	any any	No description available No description available
Outputs	OUTPUT	any	No description available
Parameters	none

Pow (DSP:Base)

Raises the input vector to a certain power

	NAME	TYPE	MEANING
Inputs	INPUT	Vector	Input vector
Outputs	OUTPUT	Vector	Result: INPUT.
Parameters	EXP	float	Exponent

Probe (Probe)

Helps debugging by allowing to "trace" programs

	NAME	TYPE	MEANING
Inputs	INPUT	any	Any data
Outputs	OUTPUT	any	Pass through
Parameters	BREAK_AT SHOW SKIP PROBE_NAME	int bool int string	If set, the probe runs until (count = BREAK_AT) Whether or not to show the the data by default Count increment for each "Next" Name (title) of the probe

RBFTrain (VQ)

No description available

	NAME	TYPE	MEANING
Inputs	FRAMES	any	No description available
Outputs	OUTPUT	any	No description available
Parameters	NB_GAUSSIANS	any	No description available

RFFT (DSP:TimeFreq)

Computes the FFT of a real input vector and output a complex result

	NAME	TYPE	MEANING
Inputs	INPUT	Vector	Real vector
Outputs	OUTPUT	Vector	Complex FFT output
Parameters	none

RMS (DSP:Misc)

Root mean squared (RMS) value of a signal

	NAME	TYPE	MEANING
Inputs	INPUT	Vector	The input signal
Outputs	OUTPUT	Vector	The RMS value
Parameters	none

ReadInt (IO)

ReadInt an integer from file

	NAME	TYPE	MEANING
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	MEANING
Inputs	none
Outputs	OUTPUT	any	No description available
Parameters	VALUE	any	No description available

Recover (Flow)

Recovers from an error (BaseException)

	NAME	TYPE	MEANING
Inputs	INPUT CATCH	any any	Normal flow Flow to follow if an error (exception) is caught
Outputs	OUTPUT EXCEPTION	any String	Flow output The error message caught (use only as feedback link)
Parameters	none

Reframe (DSP:Manip)

Applies a window on a frame

	NAME	TYPE	MEANING
Inputs	INPUT	Vector	Input frame
Outputs	OUTPUT	Vector	Reframeed frame
Parameters	LENGTH ADVANCE	int int	Length of the frames Frame advance (offset)

Reverb (DSP:Effects)

Stereo reverb effect

	NAME	TYPE	MEANING
Inputs	LEFT RIGHT	Vector Vector	Right Input Channel Left Input Channel
Outputs	LEFT RIGHT	Vector Vector	Right Output Channel Left Output Channel
Parameters	ROOMSIZE DAMP WET DRY WIDTH	float float float float float	0 < Room Size < 1 (default = .5) 0 < Damp < 1 (default = .5) 0 < Wet < 1 (default = 1/3) 0 < Dry < 1 (default = 0) 0 < Width < 1 (default = 1)

Round (Found)

Rounds a float values to the nearest integer

	NAME	TYPE	MEANING
Inputs	INPUT	float	The input float
Outputs	OUTPUT	int	Nearest integer
Parameters	none

SVD (Matrix)

Finds the eigenvalues and eigenvectors of a matrix (A=U*SIGMA*V')

	NAME	TYPE	MEANING
Inputs	INPUT	Matrix	Input matrix A (M x N, M > N)
Outputs	U SIGMA V	Matrix Vector Matrix	Left singular vectors U (M x M) Singular values SIGMA (M x N) Right singular vectors V (N x N)
Parameters	none

SampleAndHold (Flow)

Downsamples in the "count" domain

	NAME	TYPE	MEANING
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	MEANING
Inputs	INPUT DELAY	any any	No description available No description available
Outputs	OUTPUT	any	No description available
Parameters	LENGTH DELAY LOOKBACK LOOKAHEAD	any any any any	No description available No description available No description available No description available

Saturate (DSP:Effects)

Saturation (distortion) effect

	NAME	TYPE	MEANING
Inputs	INPUT	any	No description available
Outputs	OUTPUT	any	No description available
Parameters	SATURATION THRESHOLD	any any	No description available No description available

Save (IO)

Takes an object and saves it using a stream, returns the input object

	NAME	TYPE	MEANING
Inputs	OBJECT STREAM	any Stream	The object that will be saved 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)

Select (Vector)

Selects an index range in an input vector

	NAME	TYPE	MEANING
Inputs	INPUT	Vector	Input vector
Outputs	OUTPUT	Vector	Output vector (size = END-START+1)
Parameters	START END	int int	Start index (inculded) End index (included)

Send (General)

Send data through network (Not Working Yet)

	NAME	TYPE	MEANING
Inputs	none
Outputs	OUTPUT	any	No description available
Parameters	VALUE	string	No description available

SeparChannels (DSP:Audio)

No description available

	NAME	TYPE	MEANING
Inputs	INPUT	Vector	Stero frame (encoded as left, right, left, right, ...)
Outputs	LEFT RIGHT	Vector Vector	Frame for the left channel 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	MEANING
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	MEANING
Inputs	OBJECT STREAM	any Stream	The object that will be saved The output stream where to save
Outputs	OUTPUT	any	The input object
Parameters	none

Sleep (Flow)

Sleep a certain amount of time.

	NAME	TYPE	MEANING
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	MEANING
Inputs	INPUT1 INPUT2	any any	The first operand The second operand
Outputs	OUTPUT	any	Boolean output
Parameters	none

Smooth (Image)

No description available

	NAME	TYPE	MEANING
Inputs	KERNEL_IN IMAGE_IN	any any	No description available No description available
Outputs	IMAGE_OUT	any	No description available
Parameters	none

SmoothAdd (DSP:Manip)

No description available

	NAME	TYPE	MEANING
Inputs	LEFT CENTER RIGHT	any any any	No description available No description available 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	MEANING
Inputs	none
Outputs	OUTPUT	socket	The socket to be used for input/output operations
Parameters	TYPE PORT	string int	Type of socket : BROADCAST, TCP_STREAM, etc. Communication port

SolveLS (Matrix)

Solves the min[(A*x-b)**2] least square system

	NAME	TYPE	MEANING
Inputs	A B	Matrix Vector	The A matrix (M x N) The b vector (M)
Outputs	OUTPUT	Vector	Result X (N)
Parameters	none

Sort (DSP:Base)

Sorts an input vector

	NAME	TYPE	MEANING
Inputs	INPUT	Vector	Input vector
Outputs	OUTPUT	Vector	Sorted output vector
Parameters	none

Sound (DSP:Audio)

Opens a sound device

	NAME	TYPE	MEANING
Inputs	none
Outputs	OUTPUT	any	A file descriptor to the sound device
Parameters	DEVICE RATE STEREO MODE BUFFER DUMMY	string int int string int any	Path to the sound device Sampling rate 1 for stereo, 0 for mono R for sound input, W for sound output, RW for full-duplex mode Length of the audio buffer to allocate (not reliable) Put something here to output to a file

Sqrt (DSP:Base)

Square root of a vector

	NAME	TYPE	MEANING
Inputs	INPUT	Vector	Input vector
Outputs	OUTPUT	Vector	Result vector of square root
Parameters	none

SquareSum (Image)

No description available

	NAME	TYPE	MEANING
Inputs	IMAGE1_IN IMAGE2_IN	any any	No description available No description available
Outputs	IMAGE_OUT	any	No description available
Parameters	none

Stderr (IO)

Returns the stderr stream (cerr)

	NAME	TYPE	MEANING
Inputs	none
Outputs	OUTPUT	Stream	Stderr stream
Parameters	none

Stdin (IO)

Returns the stdin stream (cin)

	NAME	TYPE	MEANING
Inputs	none
Outputs	OUTPUT	Stream	Stdin stream
Parameters	none

Stdout (IO)

Returns the stdout stream (cout)

	NAME	TYPE	MEANING
Inputs	none
Outputs	OUTPUT	Stream	Stdout stream
Parameters	none

StopRecord (DSP:Misc)

For SV

	NAME	TYPE	MEANING
Inputs	INPUT	bool	frame by frame
Outputs	OUTPUT	bool	false when should stop
Parameters	START TIMEOUT	int int	Number of true frames before start Number of false frames before end

StrCat (ZDeprecated)

Concatenates two strings together (deprecated, use Concat instead)

	NAME	TYPE	MEANING
Inputs	INPUT1 INPUT2	String String	First input string Second input string
Outputs	OUTPUT	String	Concatenated strings
Parameters	none

Sub (Operator)

Subtracts two values, Vectors, Objects

	NAME	TYPE	MEANING
Inputs	INPUT1 INPUT2	any any	The value to subtract from 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	MEANING
Inputs	INPUT	Vector	The input vector
Outputs	OUTPUT	float	The sum
Parameters	none

Sync (Flow)

No-op node for which count ratio (getInput/getOutput) = RATIO

	NAME	TYPE	MEANING
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	MEANING
Inputs	INPUT	any	Any data
Outputs	OUTPUT	any	Pass through
Parameters	BREAK_AT SHOW SKIP PROBE_NAME	int bool int string	If set, the probe runs until (count = BREAK_AT) Whether or not to show the the data by default Count increment for each "Next" 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	MEANING
Inputs	INPUT	any	The input
Outputs	OUTPUT	any	The output = The input
Parameters	none

Threshold (Image)

No description available

	NAME	TYPE	MEANING
Inputs	IMAGE1_IN THRESHOLD_IN	any any	No description available No description available
Outputs	IMAGE_OUT	any	No description available
Parameters	none

Throw (Flow)

Throw a FlowException

	NAME	TYPE	MEANING
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	MEANING
Inputs	INPUT	Vector	Input vectors (frames)
Outputs	OUTPUT	Vector	Autocorrelations (summed) for each delay
Parameters	INPUTLENGTH LOOKAHEAD LOOKBACK	int int int	Length ov input vectors Maximum forward (non-causal) delay Maximum backward (causal) delay

TimeEntropy (DSP:Misc)

Non-stationnarity (pseudo-entropy) measure across vectors (frames)

	NAME	TYPE	MEANING
Inputs	INPUT	Vector	Input vectors (frames)
Outputs	OUTPUT	Vector	Value of the non-stationnarity measure (as a vector of 1 component)
Parameters	LOOKAHEAD LOOKBACK	int int	Maximum forward (non-causal) delay Maximum backward (causal) delay

TimeFilter (DSP:Filter)

Filters across vectors (frames)

	NAME	TYPE	MEANING
Inputs	INPUT	Vector	Input vectors (frames)
Outputs	OUTPUT	Vector	Filtered vectors
Parameters	LENGTH FIR IIR LOOKAHEAD	int string string int	Vector length FIR part as ... > IIR part as ... > Non-causality (in frames)

TimeMedian (DSP:Filter)

Performs median filtering across vectors (frames)

	NAME	TYPE	MEANING
Inputs	INPUT	Vector	Input vectors (frames)
Outputs	OUTPUT	Vector	Median-filtered vectors
Parameters	LENGTH LOOKAHEAD LOOKBACK	int int int	Vector size Median look back (number of frames) Median look ahead (number of frames)

Trace (Probe)

Pass Through, tracing initialization, requests, inputs and exceptions

	NAME	TYPE	MEANING
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	MEANING
Inputs	INPUT	any	state numbers in a frame buffer
Outputs	OUTPUT	any	No description available
Parameters	NB_STATES THRESHOLD	any any	Number of HMM states The minimum transition probability allowed

TrapezoidalFunction (Fuzzy)

A Fuzzy Function to be included in a FuzzySet

	NAME	TYPE	MEANING
Inputs	none
Outputs	FUNCTION	Vector	The FuzzyFunction object
Parameters	A B C D NAME	float float float float string	A value B value C value D value The name of the function

TriangularFunction (Fuzzy)

No description available

	NAME	TYPE	MEANING
Inputs	none
Outputs	FUNCTION	Vector	The FuzzyFunction object
Parameters	A B C NAME	float float float string	A value B value C value 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	MEANING
Inputs	INPUT	any	The packed vector
Outputs	OUTPUT NOT_END	any any	The single unpacked Object True if there's still data
Parameters	none

UpSample (DSP:Base)

Upsamples a signal by inserting zeros at regular interval

	NAME	TYPE	MEANING
Inputs	INPUT	Vector	Input frames
Outputs	OUTPUT	Vector	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	MEANING
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)

No description available

	NAME	TYPE	MEANING
Inputs	INPUT VQ	any any	No description available No description available
Outputs	OUTPUT	any	No description available
Parameters	none

VQCloseness (VQ)

No description available

	NAME	TYPE	MEANING
Inputs	INPUT VQ	any any	No description available No description available
Outputs	OUTPUT	any	No description available
Parameters	none

VQTrain (VQ)

No description available

	NAME	TYPE	MEANING
Inputs	FRAMES	any	No description available
Outputs	OUTPUT	any	No description available
Parameters	MEANS BINARY	any any	No description available No description available

VQWeightMeans (VQ)

No description available

	NAME	TYPE	MEANING
Inputs	INPUT VQ	any any	No description available No description available
Outputs	OUTPUT	any	No description available
Parameters	OUTPUTLENGTH	any	No description available

VQuantize (VQ)

No description available

	NAME	TYPE	MEANING
Inputs	INPUT VQ	any any	No description available No description available
Outputs	OUTPUT	any	No description available
Parameters	none

VQuantizeDiff (VQ)

No description available

	NAME	TYPE	MEANING
Inputs	INPUT VQ	any any	No description available 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	MEANING
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	MEANING
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	MEANING
Inputs	INPUT	Vector	Input vector
Outputs	OUTPUT	Vector	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	MEANING
Inputs	INPUT	Vector	Input frame
Outputs	OUTPUT	Vector	Windowed frame
Parameters	LENGTH WINDOW SYMETRIC	int string bool	Length of the frames/window Window type (HANNING, HAMMING, HALF_HANNING) Symetric window, uses (length-1) for normalization

WriteAudio (DSP:Audio)

Writes audio frames to the sound card (or any other) stream

	NAME	TYPE	MEANING
Inputs	OBJECT DEVICE	Vector Stream	Audio frames (Sound card) stream
Outputs	OUTPUT	Vector	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	MEANING
Inputs	INPUT	Vector	The input vector
Outputs	OUTPUT	float	Number of zero-crossing
Parameters	none