Packages

object WaveLoss extends 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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  4. 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 drop elements from it are removed.

    mode

    1 for deterministic mode, in which always the first drop segments within a chunk are dropped, 2 for randomized mode, where drop segments at random indices within a chunk are dropped.

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  13. 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 drop elements from it are removed.

    mode

    1 for deterministic mode, in which always the first drop segments within a chunk are dropped, 2 for randomized mode, where drop segments at random indices within a chunk are dropped.

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