Press Release: Litter Power Pro 1.0 Now Available

For Immediate Release

Litter Power Professional Bundle 1.0 released
47 new external objects for Max/MSP

Berlin, January 22, 2002

Litter Power is an extensive collection of external objects for Max/MSP implementing random number generators, noise generators, interval mutation, and much more. Litter Power externals are compatible with both Max4/MSP2 and Max3.6/MSP1.7. (Non-MSP externals are expected to also be backwards-compatible with Max 3.0 and perhaps further, but this has currently not been extensively tested.)

Please consult the Litter Power Thesaurus, enclosed below, for an overview of what Litter now can do.

Further information, including licensing details and the *free* Litter Power Starter Pack, at http://www.bek.no/~pcastine/Litter/. The Starter Pack comes with the 110-page documentation for the entire Litter Power Pro Bundle.

For a limited time only: the Litter Power Pro Bundle is available at special introductory pricing (US$ 35.00 for single-user "Artistic License", institutional licenses are also reduced, please see the order form and license information for further details). Ordering is currently through the Kagi store: https://order.kagi.com/?GSX.

Starter Pack or Pro Bundle: I hope you will enjoy Litter!

Contact: Peter Castine
Wildganssteig 28, D-13503 Berlin
Tel: (+49.30) 431-0850
Fax: (+49.30) 4367-1058
e-mail: pcastine @ bek.no
http://www.bek.no/~pcastine/Litter/


Litter Power Thesaurus

1/f distribution
lp.sss, lp.zzz, lp.sss~, lp.zzz~
Amesian feedback
lp.ernie
Arc sine distribution
lp.abbie
Bernoulli Trials
lp.bernie
Beta distribution
lp.abbie
Bilateral exponential distribution
lp.expo
Binary Choice
lp.bernie
Black noise
lp.phhh~
Brown noise
lp.pfff, lp.pfff~
Brownian motion
lp.pfff, lp.pfff~
Cartesion to Polar coordinates
lp.c2p~
Cauchy distribution
lp.coshy
Chi-Square distribution lp.chichi
Clipping values to range
lp.scampf, lp.scampi, lp.scamp~
Coin tosses
lp.bernie, lp.ginger
Conversion
lp.c2p~, lp.p2c~
Count of events
lp.stacey
Dice
lp.dicey
Dust noise
lp.ppp~
Erlang distribution
lp.gammer
Exponential distribution
lp.expo, lp.y, lp.gammer
First Law of Laplace
lp.expo
Fisher distribution
lp.fishie
Floating-point interval mutation
lp.vim
Fractal noise
lp.pfff, lp.pfff~
Frequency-domain interval mutation
lp.frim~
Gamma distribution
lp.gammer
Gauss distribution
lp.norm
Gray noise
lp.grrr, lp.grrr~
Hyperbolic cosine distribution
lp.hyppie
I Ching
lp.ginger, lp.kg, lp.i
Interval mutation
lp.frim~, lp.tim~, lp.vim
Kurtosis
lp.stacey
Laplace distribution
lp.expo
Limiting to range
lp.scampf, lp.scampi, lp.scamp~
Linear congruence
lp.lili, lp.lll~
Linear distribution
lp.linnie
Logistic distribution
lp.loggie
Log-normal distribution
lp.lonnie
Low frequency noise
lp.frrr~
Map values
lp.expo, lp.hyppie, lp.linnie, lp.loggie, lp. scampf, lp.scampi, lp.scamp~, lp.kg
Maximum
lp.stacey
McCartney Pink noise
lp.zzz, lp.zzz~
Mean
lp.stacey
Minimum
lp.stacey
Morphological mutation
lp.frim~, lp.tim~, lp.vim
Negative Cauchy distribution
lp.coshy
Negative exponential distribution
lp.expo
Noise
lp.frrr~, lp.grrr~, lp.pfff~, lp.phhh~, lp.ppp~, lp.shhh, lp.shhh~, lp.sss~, lp.tata, lp.titi, lp.zzz~
Normal distribution
lp.norm
Parametric linear congruence
lp.lili, lp.lll~
Phase unwrapping
lp.grl~
Pink Noise
lp.sss, lp.zzz, lp.sss~, lp.zzz~
Poisson distribution
lp.pfishie
Polar to Cartesian coordinates
lp.p2c~
Popcorn noise
lp.ppp~
Positive Cauchy distribution
lp.coshy
Random walk
lp.pfff, lp.pfff~
Range limiting
lp. scampf, lp.scampi, lp.scamp~
Rayleigh distribution
lp.y
Reflecting values into range
lp.scampf, lp.scampi, lp.scamp~
Sample-and-hold noise
lp.frrr~
Scale values
lp. scampf, lp.scampi
Skew (statistical)
lp.stacey
Spectral mutation
lp.frim~
Standard deviation
lp.stacey
Statistics
lp.stacey
Student's "T"" distribution lp.stu
"T" distribution
lp.stu
Tausworthe 88 random number algorithm
lp.tata
Time domain mutation
lp.tim~
Triangular distribution
lp.linnie
TT800 random number algorithm
lp.titi
Uniform distribution
lp.shhh, lp.shhh~, lp.tata, lp.titi
Urn model
lp.ernie
Voss/Gardner algorithm
lp.sss, lp.sss~
Voss/McCartney algorithm
lp.zzz, lp.zzz~
Weibull distribution
lp.y
White noise
lp.titi, lp.shhh, lp.shhh~
Wrapping values into range
lp.scampf, lp.scampi, lp.scampi~