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While the filter bank of
Fig.10.34 gives good
stop-band rejection, there is still a significant amount of
aliasing when the bands are critically sampled. This happens
because the transition bands are aliased about their midpoints.
This can be seen in
Fig.10.34 by noting that
aliasing ``folding frequencies'' lie at the crossover point between
each pair of bands. An overlay of the spectra of the downsampled
filter-bank outputs, for an impulse input, is shown in
Fig.10.35.
Figure 10.35:
Same as
Fig.10.34 obtained by
critically downsampling each channel signal, zero-padding, and
performing an FFT. All the observable stop-band error happens to
cancel out in the filter-bank sum because the input signal is an
impulse, in which case the reconstruction remains exact.
![\includegraphics[width=0.8\twidth]{eps/impulse-cheb127h-rect129x-N256-aliased-partition-interp}](img1901.png) |
Figure 10.36 shows the aliased
spectral signal bands (prior to inverse STFT) for a step input
(same filter bank). (This type of plot looks ideal for an impulse
input signal because the spectrum is constant, so the aliased bands are also constant.)
Note the large slice of dc energy that has aliased from near the
sampling rate to near half the sampling rate in the top octave
band. The signal and error spectra are shown overlaid in
Fig.10.37. In this
case, the aliasing causes significant error in the reconstruction.
Figure 10.36:
Same
filter bank as in
Fig.10.35 but
driven by a step input.
![\includegraphics[width=0.8\twidth]{eps/step-cheb127h-rect129x-N256-aliased-unpacked}](img1902.png) |
Figure 10.37:
Signal spectrum (an
impulse, since the time signal is a step) and error spectrum for the
case of Fig.10.36. Note the
large error near half the sampling rate.
![\includegraphics[width=0.8\twidth]{eps/step-cheb127h-rect129x-N256-aliased-error-interp}](img1903.png) |
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