Objects			page : 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32
lp.ginger	External		I Ching Choose numbers in the range 1 < x < 64 using the methods from the I Ching, the Book of Changes.
lp.hyppie	External		Generate random numbers from a hyperbolic cosine distribution
lp.kg	External		Map I Ching values to nonstandard ranges One common way to consult the I Ching when there are less than 64 alternatives is to ask the I Ching how much weight to assign the individual choices. The I Ching is consulted for each of the choices wanted, and the hexagram values chosen are assigned as weights to each choice. Then a range of hexagram values proportional to the weight of each choice will be assigned. Thereafter, when a hexagram number is chosen from the I Ching, it is mapped to the choice with the relevant range. This process is computed for both "present" and "future" I Ching values. In lp.kg the choices are numbered starting at one.
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.loggie	External		Generate random numbers from a logistic distribution
lp.lonnie	External		Generate random numbers from a log-normal distribution The log-normal distribution is derived from the normal (or "Gaussian") distribution. By definition, if the logarithm of a set of random variables has a normal distribution, then the variable has a log-normal distribution. Conceptually, one can think of the lognormal distribution is as the product of many independent uniform distributions (in contrast to the normal distribution, which is derived from the notion of summing independent uniform distributions). The log-normal distribution is often used to model characteristics such as income distribution, distribution of grain sizes in geological contexts, and distribution of weight or height in biological contexts. The log-normal distribution has two parameters: mean and standard deviation. Values from a log-normal distribution are positive and skewed to the right (i.e., the median is greater than the arithmetic mean.)
lp.norm	External		Generate random numbers from a normal ( "Gaussian ") distribution
lp.pfff	External		Generate random numbers from a 1/f2 ( "Brownian ") distribution
lp.pfishie	External		Generate random numbers from a Poisson distribution The Poisson distribution has one parameter, É…, which happens to be both the expected mean and variance. (Standard deviation is therefore É…). The Poisson distribution generates non-negative integers only. It is defined for positive real values of É…. The Poisson distribution was originally developed as an efficient means of approximating the Bernoulli distribution for special cases (to wit, when the product np is small even when n is large). It has gained considerable popularity for use in algorithmic composition, particularly due to the influence of Iannis Xenakis, who used it extensively.
lp.shhh	External		Generate random numbers from a "white " distribution
lp.shhh~	External		White noise This is the "whitest " white noise available for Max/MSP, taking about 2.2 · 1014 years to repeat its cycle. That’s an order of magnitude longer than the estimated age of the universe since the Big Bang. Based on the lp.tata random number generator, it should also use a little less processing power than other white noise implementations.
lp.sss	External		Generate random numbers from a 1/f ( "pink ") distribution (Voss/Gardner algorithm)
lp.sss~	External		"Pink " noise (Voss/Gardner algorithm) Pink noise generated based on the original Voss/Gardner algorithm for generating 1/f distributed random numbers.
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Libraries
boids	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='112' Jasch Sier Eric Singer Wesley Smith	Based on Simon Fraser's implementation of Craig Reynolds' Boids algorithm. Boids is free for non-commercial use. Boids is a bird flight and animal flock simulator. It is based on the same algorithm which was used in Jurassic Park for the herding dinosaurs. Boids takes an integer argument which is the number of boids. Each time Boids receives a bang, it calculates and outputs the new positions of the boids. The output consists of thew coordiantes for each boid, the number and type depending on the mode. The flight parameters can be changed with messages. Use the 'dump' message to output a list of the current parameter settings. For more information about the Boids algorithm, see Craig Reynolds' Web site at "http://reality.sgi.com/employees/craig/boids.html".
Cosm	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='147'Wesley Smith Graham Wakefield	Cosm is an integrated collection of externals and abstractions to assist the construction of navigable, sonified virtual worlds using Max/MSP/Jitter. Cosm has been designed to require only minimal changes to existing Max/MSP/Jitter patches to support a number of features valuable in the creation of virtual worlds. Supports six-degrees-of-freedom (6DoF) navigation using quaternions, spatial audio using 3rd order Ambisonics, distance filtering and doppler, collision detection using spherical intersection (query sphere), world boundaries, stereographic control, 3D field interaction, and a strategy for remote rendering.
FuzzyLib	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='139'Alain Bonardi Isis Truck	When manipulating human knowledge such as perception, feelings, appreciation, veracity of facts, etc., the classical logic that recognize only two truth degrees (true or false) is not always the most suitable. To solve this problem, more than two degrees are considered in the non-classical logics. The fuzzy logic is one of these logics. In this logic, facts are represented through membership functions: when the membership value is equal to 1 the fact is exactly true; when it is equal to 0 the fact is exactly false; in between there is an uncertainty about the veracity of the fact. These membership functions are called "fuzzy subsets". They can be of different shapes: gaussian, trapezoidal, triangular, etc. Thus the aim of the fuzzy logic is to propose a theoretical framework for the manipulation - representation and reasoning - of such facts. The Fuzzy Lib library implements all the tools that are necessary to handle this manipulation: representation of a fuzzy subset (among them are the fuzzification, defuzzification and partitioning), reasoning process (generalized modus ponens, fuzzy implications, t-norms, t-conorms, etc.). This version 1 of the Fuzzy Lib enables to implement fuzzification, uncertain reasoning and defuzzification for any number of data in the framework of Max/MSP environment.
jb.utilities	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='121'Joseph Branciforte	A set of 50 abstractions for performing both common and awkward tasks in Max/MSP. Categories include control, data, list processing, numbers, pattr-family, statistics, strings, and user-interface. Most perform multiple related functions and are unbiased as to data type where possible. Additionally, the download contains help files.
Litter Power Pro Package	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='54'Peter Castine	The Litter Power package consists of over 60 external objects, including a number of new MSP noise sources, externals that produce values from a wide variety of random number distributions, and externals for mutation and cross-synthesis.
Litter Power Starter Package	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='53'Peter Castine	The Litter Power Starter Pack consists of about two dozen external objects, including a number of new MSP noise sources, a wide variety of random number distributions, time-domain mutation, and several very useful utilities.
Lobjects	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='29'Peter Elsea	Max objects for manipulation of lists of numbers.
MaxAlea	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='96'Carl Faia	MaxAlea contains various objects for random distributions and functions. MaxAlea was begun as a Max port of an existing PatchWork Library created in 1991-2 by Mikhail Malt. While the distributions and functions found in MaxAlea are similar to those found in the Patchwork version ,there are many differences in their functioning. The environment of Patchwork is static and is not designed for real-time work. Part of the incentive for creating these objects to work with Max was to have a dynamic and real-time environment with which to experiment and work with these algorithms in a manner as simple and straightforward as possible. One can change variables and manipulate the output in many ways in real-time. There are several different versions of the various stochastic models/processes best presented in the now classic references by Denis Lorrain and Charles Dodge. Carl Faia has used a variety of sources for the creation of this library which include the Lorrain, Dodge and Malt implementations as well as sources found on the WorldWideWeb. The externals found in the package include several random distributions, examples of random walks and 1/f noise algorithms, as well as one or two utilities written specifically for the MaxAlea library. Carl Faia wanted to make a coherent collection (as he thought Malt had managed to do in PatchWork) of these various algorithms and provide an interface easily accessible using the Max environment for real-time control. All these algorithms have been created using a seeded version of the random function found in the standard AINSI library. That is, each time the function is first run there will always be a different set of random numbers (unlike the random funtions found in Max, PatchWork and other versions of random number generators).
PeRColate	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='5'Dan Trueman	PeRColate is an open-source distribution of a variety of synthesis and signal processing algorithms for Max, MSP, and Nato. It is centered around a (partial) port of the Synthesis Toolkit (STK) by Perry Cook (Princeton) and Gary Scavone (Stanford CCRMA). Like the STK, it provides a fairly easy to use library of synthesis and signal processing functions (in C) that can be wired together to create conventional and unusual instruments. Also like the STK, it includes a variety of precompiled synthesis objects, including physical modeling, modal, and PhISM class instruments; the code for these instruments can serve as foundations for creating new instruments (one example, the blotar, is included) and can be used to teach elementary and advanced synthesis techniques. Given it's STK heritage and educational function, PeRColate is largely un-optimized, though all the objects run on a 80MHz 7100, which is pretty good. PeRColate also includes a number of objects not from the STK; some are from RTcmix and others are our own evil creations, designed to crash your computer, but only after making some kind of interesting sound or image.
Random Objects	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='78'Gary Lee Nelson	These are the collections of seedable random number generators that I wrote sometime in the early 1990's. These classic, OSX and Windows ports are thanks to Jeremy Bernste
tl.objects	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='39'Trond Lossius	A number of Max/MSP externals.
V Objects	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='160'V.j. Manzo	The V Objects provides a number of shortcut tools for Max created by V.J. Manzo and included with the Modal Object Library. http://www.vjmanzo.com/mol created by V.J. Manzo
VASP	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='49'Thomas Grill	VASP is a package for PD or Max/MSP consisting of a number of externals extending these systems with functions for non-realtime array-based audio data processing. VASP is capable of working in the background, therefore not influencing eventual dsp signal processing.
xjimmies	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='100'Zack Settel Jean-michel Dumas	Parts of the nSLAM audio suite. The "xjimmies" library included with nSLAM v2.0 offers new functionality not defined in the original "jimmies" running under Max/MSP. Specifically, a number of new objects have been added for working with multichannel sound, sound source simulation and immersive audio. The name of the library, formerly "jimmies", was changed to "xjimmies", since the "X"-platform library runs in both PD (Windows/OSX/Linux) and now, in Max/MSP (Windows/OSX).