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Index: Spectral Audio Signal Processing
Spectral Audio Signal Processing
Perfect Reconstruction Filter Banks
Polyphase View of the Overlap-Add STFT
Paraunitary Filter Banks
The Short Time Fourier Transform (STFT) computes the spectrum (DFT) of successive time frames of a signal. — Click for https://ccrma.stanford.edu/~jos/sasp/Short_Time_Fourier_Transform.html
A filter in the audio signal processing context is any operation that accepts a signal as an input and produces a signal as an output. Most practical audio filters are linear and time invariant, in which case they can be characterized by their impulse response or their frequency response. — Click for https://ccrma.stanford.edu/~jos/filters/What_Filter.html
We may convert the previous example to a weighted overlap-add
(WOLA) (§8.6) filter bank by replacing each
by
and introducing these gains also between the
and
upsamplers, as shown in Fig.11.27.
Figure 11.27:
Polyphase representation
of STFT using Weighted OverLap Add (WOLA).