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vj.filepather Abstraction allows a user to dump a bunch of files in a named folder and have those files automatically loaded to Max's temp search path when the patch is loaded
allows a user to dump a bunch of files in a named folder and have those files automatically loaded to Max's temp search path when the patch is loaded
vj.random_filename Abstraction abstraction that creates a random filename. Output has descriptive filename and random number in front. No more overwriting sfrecord~ files when batch recording in multiple sessions!!
abstraction that creates a random filename. Output has descriptive filename and random number in front. No more overwriting sfrecord~ files when batch recording in multiple sessions!!
vj.timetrial Abstraction abstraction that reports a nag screen or closes the patch when the trial expiration time has been reached
abstraction that reports a nag screen or closes the patch when the trial expiration time has been reached
active External Notify when a Patcher window is the active window
active will output a 1 when the Patcher window becomes active (i.e., it is the front-most window and its title bar is hilited), and output a 0 when the Patcher window becomes inactive. You can use this to change the user interface of your window. For example, in this patcher, messages from the key object are turned off when the window is made inactive. Make the Max window the active window and type, and you will notice that numbers are no longer printed in the Max window when you press a key.
alea-brownie External A Brownian motion random walker.
A Brownian motion random walker. The walker takes off from the start value and moves back and forth between the upper and lower boundries. The step is controlled by a the sigma of a Gaussian distribution (note: this is a slightly differnt version from the gaussian distribution used is alea-gauss). when an output value goes over the boundary it is automatically recalculated as it would be elastically reflected by this boundary.
alea-walker External Random walk. The walker takes off from the start value and moves back and forth between the upper and lower boundries.
Random walk. The walker takes off from the start value and moves back and forth between the upper and lower boundries. The step is controlled by maximum step. The weight may be used to control the general direction of the walker: values closer to 1 move her up, values closer to 0 mover her down.when an output value goes over the boundary it is automatically recalculated as it would be elastically reflected by this boundary.
alea-weibull External Generates a number with a Weilbull distribution.
"Generates a number with a Weilbull distribution. The variable s controls the horizontal spread while t controls the actual shape of the distribution; the output has a 99.9% chance that it will fall below 6.9 ^(1/t)*s. when t is 0.5, the function resembles an exponential distribution, and at 3.2 a Gaussian distribution"
aleamapper External Prinipally designed for the MaxAlea objects, the middle outlet outputs input variables below the minin boundry, the right outlet outputs input above the maxin boundry. A kind of combination of the scale and clip objects.
Prinipally designed for the MaxAlea objects, the middle outlet outputs input variables below the minin boundry, the right outlet outputs input above the maxin boundry. Allows a finetuning of scaled boundries and/or a utilisation of data which falls outside these boundries. May also be used to zoom into a particular region of a distribution. when creating discrete variables from continous, the upper boundry must be increased by one more than the value wished.That is, for values between 0 and 127 one selects 0 and 128.
algo1 External performs probability and cumulative distribution operations to produce a deterministic matrix.
The object is an implementation of a 0th order Markov chain with stochastic and deterministic elements. The left inlet of the object takes input in the form of lists of up to 256 values. The program then performs probability and cumulative distribution operations to produce a deterministic matrix. Then random floating-point numbers are entered into the right inlet. The numbers are sent through a stochastic operation that matches the random number with the previous index, finds a new index based on probability, and outputs the new index. when given random numbers in a rhythmic sequence, it outputs a MIDI stream that can be viewed as a generated score when Max/MSP and a composing program are transmitting on the same internal MIDI bus.
anti-bis Abstraction Filters out immediate repetitions of integers. Right output sends a bang whenever this occurs.
anti-bis&osc Abstraction Filters out direct repetitions and when a number has occured the penultimate time
Filters out direct repetitions and when a number has occured the penultimate time, right output sends a bang when this occurs.
anti-interval Abstraction Filters out a certain interval
Filters out a certain interval (which is the argument of this function) of a stream of notes and outputs a bang from right outlet whenever this interval would have occured.
anti-octave Abstraction Filters out octaves between two consecutive notes
Filters out octaves between two consecutive notes and outputs a bang from right outlet whenever an octave has occured.
anti-octave&prime Abstraction Filters out octaves and primes
Filters out octaves and primes (i.e. tone repetitions) between two consecutive notes and outputs a bang from right outlet whenever this would have occured.
anti-osc Abstraction Filters out an integer which has occured the penultimate time.
Filters out an integer which has occured the penultimate time. Right output sends a bang when this occurs. Does not filter out immediate repetition as it is done by"anti-bis".
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Libraries
FuzzyLib
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.

4813 objects and 135 libraries within the database Last entries : August 20th, 2014 Last comments : 0 RSS
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