Objects			page : 1 2 3 4
dot.distance	Abstraction		Finds maximum or minimum distance between a scalar and a list.
dot.index	Abstraction		Generates the lowest unused index (for coll storage, for example). Argument sets maximum index.
dot.timedextrema	Abstraction		Outputs the minimum and maximum value received with the last n milliseconds.
dot.windowedextrema	Abstraction		Outputs the minimum and maximum value received with the last n samples. Also outputs the order of the extrema in the window. Outputs the minimum and maximum value received with the last n samples. Also outputs the order of the extrema in the window.
drunk	External		Output random numbers in a moving range Drunk takes two optional arguments. The first argument is a range specification, the second is a step size. Drunk does a random walk, constrained between zero and the range (here 128) and step of up to one less than the maximum step size. The maximum step size can be changed via the inlet with an int and int output is produced by inputting a bang in the inlet. The default range is 128, the default current value is 64, and the default step size is 2 (steps of 0 and 1 are allowed). A negative step size is the same as a positive one, except that steps of size 0 are never made.
echo	Javaclass (mxj)		super midi delay the echo object sends out delayed versions of input notes with attributes for altering the period multiplicatively, additively or randomly with a gaussian distribution, controlling the amount of feedback, the maximum number of taps, and a probability threshold that determines the chance of each subsequent tap occurring.
ej.4m.js	Javascript (js)		Calculate minimum, mean, median and maximum on an int/float stream
ej.mmmm	Javaclass (mxj)		calculate minimum, mean, median and maximum calculate minimum, mean, median and maximum on a stream of values. Faster version of js ej.4m
f0.auto_scale	External		finds minimum and maximum values of a stream of numbers and uses them as input scaling range
f0.auto_scale~	External		finds minimum and maximum values of a signal and uses them as input scaling range
f0.range	External		finds minimum, middle and maximum values from a stream of values
f0.range2~	External		finds minimum, middle and maximum values of a signal and remembers them with a smooth factor
f0.range~	External		finds minimum, middle and maximum values of a signal and remembers them until reset
fluctuate	External		A variation of the random object. fluctuate takes a focus point, a minimum offset from the focus, and a maximum offset from the focus. The result is the range that fluctuate will use to generate random values. The calculated extremes are inclusive. Changing the focus simultaneously changes the upper and lower limits of the randomly generated numbers. If min and max are both positive or both negative, the output will not include the focus.
group-rhythm	Abstraction		rythm generator Generates a rhythm by choosing elements of a given supply (provided by a geometrical row with its parameters: minimum entry delay, maximum entry delay and number of entry delays) and repeating a chosen value according to the periodicity parameter. This modules incorporates the "Gruppen"-theory of Karlheinz Stockhausen ("...wie die Zeit vergeht...", in: "die reihe", Vol. 3, Vienna 1957) and reflects some considerations of Gottfried Michael Koenig about serialism and aleatory ("Aleatorische und serielle Verfahren in der elektronischen Musik", in: Die Sonde, Vol. 5/1, Bonn 1965).
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Libraries
SFA Max/MSP Library	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='172'Stefano Fasciani	The SFA-MaxLib is a collection of Max/MSP objects developed in the context of the VCI4DMI. It includes functions and utilities in the form of FTM externals, FTM abstractions and Max abstractions. FTM is a shared library for Max/MSP developed by IRCAM, which provides a small and simple real-time object system and a set of optimized services to be used within Max/MSP externals. List of FTM Externals: sfa.eig - eigenvalues; sfa.inputcombinations - combination generator; sfa.levinson - levinson-durbin recursion; sfa.lpc2cep - lpc to cepstra conversion; sfa.rastafilt - rasta filter; sfa.rmd - relative mean difference; sfa.roots - polynomial roots; List of Abstractions: sfa.bark.maxpat - energy of the Bark bands from time domain frame;sfa.bark2hz_vect.maxpat - Herts to Bark conversion;sfa.barkspect.maxpat - energy of the Bark bands from spectrum; sfa.ceil.maxpat - ceil function; sfa.featfluxgate.maxpat - gated distance on stream of feature vectors; sfa.fft2barkmx.maxpat - utility sub-abstraction of sfa.bark; sfa.fft2barkmxN.maxpat - utility sub-abstraction of sfa.barkspect; sfa.hynek_eq_coeff.maxpat - hynek equalization coefficients; sfa.hz2bark.maxpat - Hertz to Bark conversion; sfa.hz2bark_vect.maxpat - Hertz to Bark conversion for vectors; sfa.hz2mel.maxpat - Hertz to Mel conversion; sfa.idft_real_coeff.maxpat - utility sub-abstraction of sfa.rasta-plp; sfa.maxminmem.maxpat - minimum and maximum of a stream of data; sfa.mfcc.maxpat - MFCC coefficients; sfa.modalphafilter.maxpat - 1st order IIR lowpass on a stream of vectors; sfa.nonlinfeqscale.maxpat - linear spectrum to Bark or Mel scale conversion; sfa.rasta-plp.maxpat - PLP and RASTA-PLP coefficients; sfa.spectmoments.maxpat - 4 spectral moments (centroid, deviation, skewness, kurtosis); sfa.3spectmoments+flatness.maxpat - 3 spectral moments (centroid, deviation, skewness) and the spectral flatness; sfa.spectralflux.maxpat - spectral flux on stream of spectrum vectors; sfa.spectralfluxgate.maxpat - gated spectral flux on stream of spectrum vectors; sfa.std.maxpat - standard deviation; sfa.win_to_fft_size.maxpat - smaller FFT size given frame size; sfa.GCemulator.maxpat – 3D gestural controller emulator;