Processing

These MarSystems process realvecs. There is a separate list of simple processing blocks; this list includes both simple and advanced processing blocks. More...

Data Structures
class	ADSRenvelope
	Multiply input realvec by Value of Envelope. More...
class	BeatAgent
	Entity representing a given {period, phase} hypothesis regarding a train of beat positions paced by the following tempo. A set of initial agents are feeded by the initial hypothesis given by an initial tempo induction stage. Each BeatAgent is recursively evaluated in real-time, by a given score function (heuristics), around each predicted beat. According to the goodness-of-fit between each agent's prediction and the correspondent local maxima in the observed data (given by the onset detection function calculated by the Spectral Flux) the agent's current score is incremented or decremented, calling for the creation of new agents (children) when large discrepancies are observed. More...
class	BeatPhase
	Given a periodicity calculate best matching phase. More...
class	BeatReferee
	Central agency responsible for causally evaluating a pool of active BeatAgents around each beat prediction, and selecting the best one at each time ("frame" - tick), based on a given heuristics (score function) which affers the goodness-of-fit between each agent prediction and local maxima in the observed data (given by the onset detection function calculated by the Spectral Flux). More...
class	BeatTimesSink
	Outputs predicted beat times (in seconds or "frames"-ticks) and/or the median IBI (in BPMs). More...
class	Biquad
	Filter a Signal. More...
class	CARFAC
	Multiply input realvec with a fixed value. More...
class	Clip
	Clip. More...
class	Combinator
	Basic example on how to use controls efficiently in MarSystems. More...
class	CompExp
	Multiply input realvec with CompExp. More...
class	Deinterleave
	Deinterleave i.e. Reorder input realvec along observations. More...
class	DeInterleaveSizecontrol
	Deinterleave i.e. Reorder input realvec. More...
class	Delay
	Delay. More...
class	DelaySamples
	Simple MarSystem that shifts samples back in time. More...
class	DeltaFirstOrderRegression
	Calculate simple time domain delta in first order regression fashion. More...
class	Differentiator
	Calculate the difference of successive input samples. More...
class	DownSampler
	Downsample the input signal by dropping samples. More...
class	Envelope
	Multiply input realvec by Value of Envelope. More...
class	ERB
	ERB Filterbank. More...
class	Filter
	Filter a Signal. More...
class	FullWaveRectifier
	Full wave rectification: take the absolute value of all samples. More...
class	Gain
	Multiply input realvec with a fixed value. More...
class	HalfWaveRectifier
	Negative values are trimmed to zero, positive values are kept. More...
class	HarmonicStrength
	Calculates the relative strength of harmonics. More...
class	Inject
	Inject a vector specified by the mrs_realvec/inject control into the datastream. More...
class	Limiter
	Multiply input realvec with Limiter. More...
class	LyonAgc
	Automatic Gain control specific for Lyon's Passive Ear. More...
class	LyonChannelDiff
	Channel Difference specific for Lyon's Passive Ear. More...
class	LyonPassiveEar
	Lyon filterbank. More...
class	LyonZeroOutPreEmph
	set the first two filter channels (preemphasis) to zero More...
class	MarSystemTemplateBasic
	Basic example on how to use controls efficiently in MarSystems. More...
class	MathPower
	each output = pow(input, x). Supports decimal exponents (i.e. taking the nth root). More...
class	MedianFilter
	Apply median filter on input vector. More...
class	Memory
	Memory output the past memSize input observations. More...
class	MixToMono
	Mix the input channels (observations rows) into one output observation channel. More...
class	Mono2Stereo
	Convert mono to stereo by copying. More...
class	Negative
	Toggle the sign of the input samples. More...
class	NoiseGate
	Multiply input realvec with NoiseGate. More...
class	Norm
	Normalize each observation channel separately per slice. More...
class	Normalize
	Normalize my mapping min/max range to user specified range. More...
class	NormalizeAbs
	Normalize each observation channel by absolute value. More...
class	NormMatrix
	Normalize the input data slice as a whole. More...
class	NormMaxMin
	Normalize by mapping min/max range to user specified range. More...
class	OnePole
	Simple one-pole digital filter. More...
class	OnsetTimes
	Retrieves M first beat times (phases, in "frames"-ticks), retrieved from peaks from an onset function. More...
class	OrcaSnip
	Multiply input realvec with OrcaSnip. More...
class	OverlapAdd
	OverlapAdd. More...
class	Panorama
	Amplitude Panning to move single broadband source to an azimuth angle. More...
class	ParallelMatrixWeight
	Basic example on how to use controls efficiently in MarSystems. More...
class	PatchMatrix
	Linear Combine Each input channel (i.e. observation) with each other channel the weights for the combinations can be provided through the weights control: each column of the weights control contains the weight for the input channel (i.e. row) with the same number indexwise. Sets of weight for each channel are expected to be found within same channel of the weights control. A constant vector can also be provided in the consts control to set the offset for each channel respectively. More...
class	PeakDistanceHorizontality
	compute a weight depending on how "horizontal" the distance between two peak entries is More...
class	PeakRatio
	Incorporates the ratio of the higest peak to minimal/average peak of each observation samplewise to the output vector. More...
class	PhaseLock
	Retrieves the N best {period, phase} hypotheses by affering the phase more suited to each period (by correlating each of the N*M hypotheses with the onset detection function within the initial induction window). Besides, it tries to infer the correct metre (duple or triple) by atributing the correspondent hierarchical set of initial scores, normalized in accordance to the weigth imposed by the time of the initial induction window. It supports ground-truth mode which inputs the first two beats retrieved from a ground-truth beat times annotation file, for initially assigning (only) one agent with the ground-truth period and phase. More...
class	RemoveObservations
	Removes observations outside a given range. More...
class	Resample
	resamples all observations using a piecewise cubic bezier polynomial for interpolation between samples More...
class	ResampleBezier
	resamples all observations using a piecewise cubic bezier polynomial for interpolation between samples More...
class	ResampleLinear
	Stretch samples using linear interpolation. More...
class	ResampleNearestNeighbour
	Stretch samples using the samples' nearest neighbours. More...
class	ResampleSinc
	resamples all observations using a sum of sinc functions wheareas each point is modeled by a sinc function with the given points amplitude, that is set to zero after the 5th zero crossing More...
class	Reverse
	Reverse the input samples (i.e. first samples become last and vice-versa). More...
class	Shifter
	Shifts the input and outputs the original and shifted version. More...
class	ShiftInput
	Apply sliding window with certain hop size and window size. More...
class	ShiftOuput
	Shift next D samples. More...
class	Signum
	Compute sign of input vector: output vector is 1 for strictly positive observations, 0 for the rest. More...
class	SimulMaskingFft
	Return only the power spectrum components above the masking threshold. More...
class	SliceDelta
	Takes the difference (delta) between successive input slices. More...
class	SliceShuffle
	Shuffle the incoming slices randomly. More...
class	SpectralTransformation
	Contains various spectral transformation. Input and output is a complex spectrum. Mostly used to demonstrate how spectral analyis works. More...
class	Spectrum2ACMChroma
	Transform an (amplitude) spectrum to a chroma profile. More...
class	Square
	Square the input samples. More...
class	StretchLinear
	Stretch samples using linear interpolation. More...
class	SubtractMean
	Subtract the mean of each observation channel. More...
class	Sum
	Sum the input rows of observations into one row. More...
class	TempoHypotheses
	Organizes a NN x 3 matrix given NN = N x M raw {period, phase, periodSalience} hypotheses. (if no periods were retrieved some manually defined periods will be assumed). More...
class	TimeFreqPeakConnectivity
	uses dynamic programming to create a (symmetric) distance matrix between the series of peaks at the inputs More...
class	Transposer
	switches samples and observations, i.e. transposes the output realvec (inSamples -> onObservations, onSamples -> inObservations) More...
class	Unfold
	Take a two-dimesional realvec and unfold it to make a one-dimensional realvec. More...
class	Vibrato
	Apply vibrato using time-varying delay. More...
class	Windowing
	Apply a windowing function (envelope) to the input signal. More...

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Detailed Description

These MarSystems process realvecs. There is a separate list of simple processing blocks; this list includes both simple and advanced processing blocks.