Objects			page : 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
jr.autokeyflag	Abstraction		flag when matching character pressed on keyboard
jr.listlabel	Abstraction		split list of numbers into pairs of . Only outputs values when changed.
jr.pmp	Abstraction		abstraction to replace plugmultiparam, when values from 4th outlet of vst~ are needed (requires Lchange)
kd&u	Abstraction		Report 1 when key is down, 0 when you release a key
key-bang	Abstraction		Sends out a bang whenever a certain key is pressed. Sends out a bang whenever a certain key is pressed. The argument is the ASCII-number of that key.
kink~	External		Distort the output of a phasor~ Distort the output of a phasor~. kink~ takes phasor~ values and distorts them according to a slope factor. If the input times the slope is less than 0.5, that value is output. Otherwise, a complentary slope is used, equal to 0.5 at the same input value but equal to 1 when the input is 1. This creates a bend or "kink" in the phase waveform when the slope is not equal to 1. If you feed the output of kink~ into a cycle~, the result is that the first part (before the kink) of the wavetable is scanned much more quickly than the second part (after the kink). Can you say CZ-101? Sure you can.
kout	Abstraction		Outputs the argument two value when the argument 1 key is pressed
lessthan~ (<~)	External		Signal less-than operator Signal less-than operator. The signal less-than operator outputs a 1 signal when the left input is less than the right input and a 0 when it is greater than or equal to the right input. The right input can be a signal or a float.
Limite	External		send 1 when input value in between two limits, else 0 (ints or floats) it only send 0 and 1 once
loadbang	External		Generate a bang when a Patcher is loaded
loadmess	External		Send a message when a patch is loaded.
lp.gammer	External		Generate random numbers from Gamma and Erlang distributions The Gamma distribution has two parameters, generally referred to as order and location. It produces an asymmetrical distribution of positive random values, and is often used in musical contexts for generating rhythms. The order parameter must be positive, the location parameter may be zero or positive. The Erlang distribution is a special case of the Gamma function when the order parameter is an integer. This distribution is modeled on a process consisting of several independent exponentially-distributed sub-processes. In this case, the order parameter indicates the number of sub-processes. An Erlang distribution with order of one is equivalent to an exponential 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.pfishie	External		Generate random numbers from a Poisson distribution The Poisson distribution has one parameter, Ʌ, which happens to be both the expected mean and variance. (Standard deviation is therefore Ʌ). The Poisson distribution generates non-negative integers only. It is defined for positive real values of Ʌ. 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.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.
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Libraries
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.