rsc3/doc-schelp/HelpSource/Classes/LFDNoise3.scrbl

89 lines
1.8 KiB
Racket

#lang scribble/manual
@(require (for-label racket))
@title{LFDNoise3}
Dynamic cubic noise@section{related}
Classes/LFClipNoise, Classes/LFDClipNoise, Classes/LFDNoise0, Classes/LFDNoise1, Classes/LFNoise0, Classes/LFNoise1, Classes/LFNoise2
@section{categories}
UGens>Generators>Stochastic
@section{description}
Similar to link::Classes/LFNoise2:: , it generates polynomially
interpolated random values at a rate given by the
@racketblock[freq:: argument, with 3 differences:
]
@section{list}
## no time quantization
## fast recovery from low freq values @section{footnote}
link::Classes/LFNoise0:: , link::Classes/LFNoise1:: and
link::Classes/LFNoise2:: quantize to the nearest integer division
of the samplerate, and they poll the
@racketblock[freq::
argument only when scheduled; thus they often seem to hang
when freqs get very low.
::
## cubic instead of quadratic interpolation
::
If you don't need very high or very low freqs, or use fixed freqs,
link::Classes/LFNoise2:: is more efficient.
]
@section{classmethods}
@section{method}
ar, kr
@section{argument}
freq
Approximate rate at which to generate random values.
@section{argument}
mul
Output will be multiplied by this value.
@section{argument}
add
This value will be added to the output.
@section{Examples}
@racketblock[
// try wiggling mouse quickly:
// LFNoise2 overshoots when going from high to low freqs, LFDNoise changes smoothly.
{ SinOsc.ar(LFNoise2.ar(MouseX.kr(0.1, 1000, 1), 200, 500), 0, 0.2) }.play
{ SinOsc.ar(LFDNoise3.ar(MouseX.kr(0.1, 1000, 1), 200, 500), 0, 0.2) }.play
// LFNoise quantizes time steps at high freqs, LFDNoise does not:
{ LFNoise2.ar(XLine.kr(2000, 20000, 8), 0.1) }.scope;
{ LFDNoise3.ar(XLine.kr(2000, 20000, 8), 0.1) }.scope;
// use as frequency control
(
{
SinOsc.ar(
LFDNoise3.ar(4, 400, 450),
0, 0.2
)
}.play;
)
::
]