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Kaiser Window Transform and Frame-Rate

\epsfig{file=eps/windowTransformkaiserC.eps,width=6in}

This example, which represents a reasonably high-quality audio STFT, will be robust in the presence of spectral modifications because the folding frequency lies above the main lobe of the Kaiser window transform.

Remember that, for robustness in the presence of spectral modifications, the frame rate should be more than twice the highest main-lobe frequency.


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``FFT Signal Processing: The Filter-Bank Summation (FBS) Method for Fourier Analysis, Modification, and Resynthesis'', by Julius O. Smith III, (From Lecture Overheads, Music 421).
Copyright © 2020-06-27 by Julius O. Smith III
Center for Computer Research in Music and Acoustics (CCRMA),   Stanford University
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