Sliding FFT (Maximum Overlap), Any Window, Zero-Padded by 5
- Perfect reconstruction (always true when hop-size
)
- Oversampled by
, where
= window length (time-domain oversampling factor)
-
- 5 = zero-padding factor (frequency-domain oversampling factor)
- Excellent channel isolation (set by window side lobes)
- Extremely robust to filter-bank modifications
- No aliasing to cancel!
and
avoid all aliasing entirely? In the early days of computer music,
this was the normal choice in phase-vocoder analysis for additive
synthesis (§G.10), and it is of course far more affordable
now. For aggressive spectral modifications, the sliding FFT (
)
generally yields the best quality results. Additionally, the signal
analyzed can be oversampled so that the frequency domain has a large
extended area where nonlinear distortion products can ``land'' without
aliasing. As an example, ``tube distortion'' simulators routinely
utilize 
or even 
oversampling in the input signal
prior to distortion [300].
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Geometric Signal Theory
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STFT, Kaiser Window, Beta=10, 90% Overlap
