object IFFT extends ProductReader[IFFT] with Serializable
A UGen performing an inverse FFT, transforming a buffer containing a spectral domain signal back into the time domain.
Examples
// perfect reconstruction play { // with a hop of 0.5 and forward Hann window, // we get a perfect reconstruction delayed // by the fftSize minus one control-block. // (alternatively, you can use a hop of 1.0, // and winType of 1 for both FFT and IFFT) val n = 1024 val hop = 0.5 val buf = LocalBuf(n) val in = PinkNoise.ar(0.5) val fft = FFT(buf, in, hop = hop, winType = 1) val out = IFFT.ar(fft, winType = -1) val dur = (2 * n * hop) / SampleRate.ir - ControlDur.ir val dly = DelayN.ar(in, dur, dur) out - dly }
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- def ar(chain: GE, winType: GE = 0, winSize: GE = 0): IFFT
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reference to the spectral signal, returned as a buffer-identifier from
FFT
or thePV_...
UGens.- winType
The window function applied after each IFFT is taken. The default of
0
is a sine window,-1
is a rectangle window, and1
is a Hann window. (init-time only)- winSize
With the default value of zero, the window size equals the fft size. If you wish to perform zero padding, an explicit window size can be specified. (init-time only)
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- def kr(chain: GE, winType: GE = 0, winSize: GE = 0): IFFT
- chain
reference to the spectral signal, returned as a buffer-identifier from
FFT
or thePV_...
UGens.- winType
The window function applied after each IFFT is taken. The default of
0
is a sine window,-1
is a rectangle window, and1
is a Hann window. (init-time only)- winSize
With the default value of zero, the window size equals the fft size. If you wish to perform zero padding, an explicit window size can be specified. (init-time only)
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- IFFT → ProductReader
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