DocumentCode :
2575142
Title :
Realization of arbitrary filters in the STFT domain
Author :
Goodwin, Michael M.
Author_Institution :
Audience, Inc., Mountain View, CA, USA
fYear :
2009
fDate :
18-21 Oct. 2009
Firstpage :
353
Lastpage :
356
Abstract :
It is well known that FIR filters can be efficiently realized in the short-time Fourier transform domain, namely using sliding windows and FFTs. In some scenarios, however, the standard overlap-add or overlap-save block convolution algorithms may be impractical due to the need for large transforms to implement long filters. In this paper, we show how to realize arbitrary FIR and IIR filters in an STFT framework whose block size, hop size, and transform size are not constrained by the target filter response. First, we review a subband filtering approach which enables implementation of arbitrarily long FIR filters in such a fixed-size STFT system via an overlap-add decomposition of the target filter impulse response. We then extend the subband filtering framework to the case of IIR filtering: first, we show how to map a single-pole filter into single-pole subband filters; then, we show how to map any arbitrary IIR filter into a subband filtering scheme. These approaches are useful for applications such as filter realization in modular frequency-domain systems, filter implementation on restricted hardware, compressed-domain processing in frequency-domain coding systems, and subband adaptive filtering.
Keywords :
FIR filters; Fourier transforms; IIR filters; adaptive filters; FIR filters; IIR filters; STFT domain; arbitrary filters; compressed-domain processing; frequency-domain coding systems; modular frequency-domain systems; overlap-add decomposition; overlap-save block convolution algorithms; short-time Fourier transform domain; single-pole subband filters; sliding windows; standard overlap-add convolution algorithms; subband adaptive filtering; subband filtering approach; target filter response; Adaptive filters; Convolution; Fast Fourier transforms; Filtering; Finite impulse response filter; Fourier transforms; IIR filters; Nonlinear filters; Signal processing; Time domain analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applications of Signal Processing to Audio and Acoustics, 2009. WASPAA '09. IEEE Workshop on
Conference_Location :
New Paltz, NY
ISSN :
1931-1168
Print_ISBN :
978-1-4244-3678-1
Electronic_ISBN :
1931-1168
Type :
conf
DOI :
10.1109/ASPAA.2009.5346509
Filename :
5346509
Link To Document :
بازگشت