Sliding FFT (Maximum Overlap), Any Window, Zero-Padded by 5

• Perfect reconstruction (always true when hop-size $R=1$ )
• Oversampled by $5M$ , where

  $--$

  $M$ = 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!

This example is practical in research applications. With powerful computers and large disks, why not set the FFT hop size to $R=1$ 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 ($R=1$ ) 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 $8\times$ or even $16\times$ oversampling in the input signal prior to distortion [301].