final case class BleachKernel(in: D, filterLen: I = 256, feedback: D = 0.001, filterClip: D = 8.0) extends SingleOut[Double] with Product with Serializable
An UGen that outputs an adaptive filter kernel based on an input signal.
The finite impulse response kernel can be used to remove resonances from the input signal.
This UGen operates like the Bleach UGen, but instead of filtering the input,
it outputs the raw filter coefficients. For each input sample, filterLen output
samples will be generated, representing the current kernel.
If one is only interested in a "final" kernel, one can just TakeRight the last
filterLen output samples.
- in
the signal to analyze
- filterLen
the length of the FIR filter
- feedback
the adaptation speed of the filter. Lower values mean it takes longer for the filter to adjust to input signal, higher values mean it is faster changing according to the input. Typical values are in the order of -60 dB.
- filterClip
a clipping threshold for the filter coefficients, to avoid that a filter "explodes". Each filter coefficient is clipped to have a magnitude no larger than the given clip value.
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- new BleachKernel(in: D, filterLen: I = 256, feedback: D = 0.001, filterClip: D = 8.0)
- in
the signal to analyze
- filterLen
the length of the FIR filter
- feedback
the adaptation speed of the filter. Lower values mean it takes longer for the filter to adjust to input signal, higher values mean it is faster changing according to the input. Typical values are in the order of -60 dB.
- filterClip
a clipping threshold for the filter coefficients, to avoid that a filter "explodes". Each filter coefficient is clipped to have a magnitude no larger than the given clip value.
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- val feedback: D
- val filterClip: D
- val filterLen: I
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- def makeUGen(args: IndexedSeq[UGenIn[_]])(implicit b: Builder): UGenInLike[Double]
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- BleachKernel → UGenSource
- def makeUGens(implicit b: Builder): UGenInLike[Double]
Abstract method which must be implemented by creating the actual
UGens during expansion.Abstract method which must be implemented by creating the actual
UGens during expansion. This method is at most called once during graph expansion- returns
the expanded object (depending on the type parameter
U)
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