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Audio FFT Filter Banks - polimi.it
http://dafx09.como.polimi.it/proceedings/papers/paper_92.pdf
FFT-based nonuniform filter banks are proposed based on channel-sized inverse FFTs applied to nonuniform frequency-partitions (or overlap-add decompositions) of the Short Time Fourier Transform (STFT). Audio filter banks (particularly octave filter banks) are considered as application examples. Trade-offs discussed include
FFT Filter Banks | Spectral Audio Signal Processing
https://www.dsprelated.com/freebooks/sasp/FFT_Filter_Banks.html
Audio Filter Banks It is well known that the frequency resolution of human hearing decreases with frequency [ 71, 276 ]. As a result, any `` auditory filter bank '' must be a nonuniform filter bank in which the channel bandwidths increase with frequency over most of the spectrum.
FFT Filter Banks - Stanford University
https://ccrma.stanford.edu/~jos/sasp/FFT_Filter_Banks.html
FFTFilterBanks. This section, based on [265], describes how to makepractical audio filter banksusing the Short Time FourierTransform(STFT). This material bridges the filter-bankinterpretation of the STFT in Chapter 9and the discussion ofmultirate filter banksin Chapter 11. The filter banks of thissection are based entirely on the STFT, with consideration of …
CiteSeerX — AUDIO FFT FILTER BANKS
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.556.935
FFT-based nonuniform filter banks are proposed based on channel-sized inverse FFTs applied to nonuniform frequency-partitions (or overlap-add decompositions) of the Short Time Fourier Transform (STFT). Audio filter banks (particularly octave filter banks) are considered as application examples.
Audio Filter Banks
https://ccrma.stanford.edu/~jos/sasp//Audio_Filter_Banks.html
Audio Filter Banks. It is well known that the frequency resolution of human hearing decreases with frequency [ 71, 276 ]. As a result, any `` auditory filter bank '' must be a nonuniform filter bank in which the channel bandwidths increase with frequency over most of the spectrum. A classic approximate example is the third-octave filter bank. 11.14 A simpler (cruder) approximation is …
MUS421/EE367B Lecture 9D: Nonuniform FFT Filter Banks
https://ccrma.stanford.edu/~jos/FFTFilterBanks/FFTFilterBanks.pdf
• The STFT implements a uniform FIR filter bank • Each FFT bin = one time-sample of filter-bank output in one filter channel • Summing adjacent filter-bank signals sums corresponding passbands to create a wider passband • Summing adjacent FFT bins in the STFT, therefore, synthesizes one time-sample from a wider passband implemented using the FFT
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