Objects			page : 1 2 3 4 5 6 7 8 9 10 11 12 13 14
lin2dB	Abstraction		Converts linear values into dB.
line	External		Generate ramps and line segments Output numbers in a ramp from one value to another
linedrive	External		Scale integers for use with line~ Linedrive takes integers ranging from -argument 1 to +argument 1 and scales them to fall within the range -argument 2 to +argument 2. If the input equals argument 1, the output is equal to argument value 2. Output varies exponentially with the input depending on argument 3. With the arguments shown, input values between 0 and 127 are converted from 2*dB to linear amplitude with 127 becoming 1.
linedrive	External		Scale numbers exponentially. Scale integers for use with line~
lines	Abstraction		Like [line] but it allows multisegment lists like [line~]
line~	External		Generate signal ramp or envelope
LogCurve	Patch		Converts linear input to logarithmic curve
log~	External		Output the log (to a specified base) of a signal Output the log (to a specified base) of a signal. log~ is useful for generating curves from line~. In the example below, log~ with an argument 2 (for log to the base 2) is used to generate a pitch glissando and a logarithmic amplitude envelope.
lookup~	External		Use a buffer~ for nonlinear distortion of a signal Use a buffer~ for nonlinear distortion of a signal. lookup~ allows you to use a table of samples (buffer~ object) to do waveshaping on a signal, in which the Y values of a input signal are used as X values to look up new signal values. Input values of -1 to +1 are mapped to table values between 0 (or the specified sample offset) and the size of the table.
lp.frrr~	External		Low-frequency noise Low-frequency noise is generated from a sequence of random values chosen at a constant rate slower than the sampling rate. In its simplest form, it functions as a noise generator passed through a sample-and-hold module. However, lp.frrr~ also allows the samples between the randomly generated values to be interpolated, either linearly or quadratically.
lp.lili	External		Parametric linear congruence method The linear congruence algorithm has been the standard method of generating pseudorandom numbers since the late 1950s. More recent statistical literature (i.e., since about 1960) has pointed out numerous shortcomings with the algorithm. Despite this, linear congruence remains the method provided by practically all operating systems and programming libraries. Max is no exception. With carefully chosen parameters, LC can produce sequences of numbers that at least appear random at first glance. However, even with the most carefully chosen parameters, LC shows a number of correlations that are not in any sense random. For this reason, the Litter Power Package uses more modern methods that are more measurably random and robust. The algorithm used by default in the Litter Power Package is faster, to boot.
lp.linnie	External		Generate random numbers from linear and triangular distributions The lp.linnie object wraps linear and triangular distributions into one neat package. You can choose which variant to use through the symmetry option described below.
lp.lll~	External		Parametric linear congruence "noise" "White" noise using the Linear Congruence algorithm, while allowing you to specify values for the LC parameters. See lp.lili for more information on parametric linear congruence. The lp.lll~ object works very much like lp.lili, except that the integral values produced are scaled to the range -1 < x. < 1 for signals. Note that the scaling factor is calculated relative to the mod parameter, so the maximum power range is always produced (except for LC cycles that get stuck at a constant… this can happen!). For many parameter combinations, this cycle of numbers generated may be very short. In other words, the result may be much closer to pitch than noise. There are many intermediate signals.
lp.ppp~	External		Popcorn (dust) noise This noise generator, known variously as popcorn or dust noise, generates exponentially distributed pulses of varying amplitude and pulse width. It resembles kinds of noise frequently found in telecommunications lines and sometimes in radio broadcast. Curiously, in most naturally occurring circumstances, the pulses are all of the same sign, either positive or negative. The lp.ppp~ object supports both, as well as a symmetrical variant in which positive and negative pulses are mixed at random. When the density of pops becomes high and pulse width also increases, it becomes possible for pops to overlap. The current implementation makes no provision for overlapping pops; one pop must be completed (i.e., the signal must return to 0) before the next one can begin. Thus, the actual frequency of pops may fall slightly underneath the specified mean.
Lscale	External		An object to adjust range of input values in a linear fashion.
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Libraries
A-Chaos Lib	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='21' Sier	library of non-linear strange attractors for max under macintosh sys, extended from Richard Dudas Chaos Collection, including the source (24 dynamic non-linear systems:: a-baker, a-clifford, a-collatz, a-duffing, a-fibonacci, a-ginger, a-henon-heilles, a-henon, a-henonf, a-henonphase, a-ikeda, a-jong, a-logistic, a-logistic1, a-lorenz, a-lorenz.e,a-lyapunov, a-navier-stokes, a-navier-stokes.e, a-rossler, a-stein, a-stein1, a-torus and a-verhulst)
cv.jit	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='19'Jean-Marc Pelletier	cv.jit is a collection of max/msp/jitter tools for computer vision applications. The goals of this project are to provide externals and abstractions to assist users in tasks such as image segmentation, shape and gesture recognition, motion tracking, etc. as well as to provide educational tools that outline the basics of computer vision techniques.
Jeroen_ChaosLib	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='98'Jeroen Liebregts	This set of objects is capable of generating an infinite amount of attractors by automatically constructing nonlinear equations. These formulas are of the type quadratic and cubic, so their highest term is to the power of two (quadratic) or three (cubic). The quadratic equations go up to four dimensions, the cubic up to three. Example patches are included.
p.jit.gl.tools	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='123' Pelado	the p.jit.gl tools are designed to provide for easier learning of and experimenting with the many attributes that are available to jitter's gl objects by making them a whole lot more transparent and accessible. patches expose jitter gl object's attributes to interfaces that allow you to immediately edit and change an attribute's value. many of the parameters are attached to blines, which provide smooth changes while rendering, and all settings can be saved and recalled as presets using the pattrs that are embedded in the patches.
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;