Filter-Bank Summation (FBS) Interpretation of the STFT
We can group the terms in the STFT definition differently to obtain
the filter-bank interpretation:
As will be explained further below (and illustrated further in Figures 9.3, 9.4, and 9.5), under the filter-bank interpretation, the spectrum of












Expanding on the previous paragraph, the STFT (9.2) is computed by the following operations:
- Frequency-shift
by
to get
.
- Convolve
with
to get
:
(10.3)










Note that the STFT analysis window
is now interpreted as (the flip
of) a lowpass-filter impulse response. Since the analysis window
in the STFT is typically symmetric, we usually have
.
This filter is effectively frequency-shifted to provide each channel
bandpass filter. If the cut-off frequency of the window transform is
(typically half a main-lobe width), then each channel
signal can be downsampled significantly. This downsampling factor is
the FBS counterpart of the hop size
in the OLA context.
Figure 9.3 illustrates the filter-bank interpretation for
(the ``sliding STFT''). The input signal
is frequency-shifted
by a different amount for each channel and lowpass filtered by the
(flipped) window.
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FBS and Perfect Reconstruction
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Overlap-Add (OLA) Interpretation of the STFT