object WaveLoss extends ProductReader[WaveLoss] with Serializable
A UGen which uses zero-crossings to divide an input signal into tiny segments. It simply discards a fraction of the segments (replacing them with silence).
The technique was described in a lecture by Trevor Wishart.
Examples
// sine plus noise play { val sig = (SinOsc.ar + PinkNoise.ar) * 0.5 val mode = MouseY.kr(1, 2).roundTo(1) WaveLoss.ar(sig, drop = MouseX.kr(0, 40), chunk = 40, mode = mode) * 0.1 }
This is a third-party UGen (MCLDUGens).
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- def ar(in: GE, drop: GE = 20, chunk: GE = 40, mode: GE = 1): WaveLoss
- in
input signal to be distorted
- drop
the number of wave segments to drop in each group of size
chunk.- chunk
the number of wave segments that are grouped, so that
dropelements from it are removed.- mode
1for deterministic mode, in which always the firstdropsegments within achunkare dropped,2for randomized mode, wheredropsegments at random indices within achunkare dropped.
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- def kr(in: GE, drop: GE = 20, chunk: GE = 40, mode: GE = 1): WaveLoss
- in
input signal to be distorted
- drop
the number of wave segments to drop in each group of size
chunk.- chunk
the number of wave segments that are grouped, so that
dropelements from it are removed.- mode
1for deterministic mode, in which always the firstdropsegments within achunkare dropped,2for randomized mode, wheredropsegments at random indices within achunkare dropped.
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