DocumentCode :
2818698
Title :
Filter bank constraints for subband and frequency-domain adaptive filters
Author :
Eneman, Koen ; Moonen, Marc
Author_Institution :
Katholieke Univ., Leuven, Belgium
fYear :
1997
fDate :
19-22, Oct 1997
Abstract :
For many years now, subband and frequency-domain adaptive filtering techniques have been proposed for the cancellation of long acoustic echoes. Classical LMS based algorithms are less attractive as their computation load is higher and the convergence behaviour for coloured far-end inputs is worse. We specify 3 realization conditions for DFT modulated subband schemes. Standard subband adaptive filters cannot fulfil all conditions. We show that frequency-domain based algorithms can be considered as a special case of subband adaptive filtering and that the realization conditions can be fulfilled in this case
Keywords :
acoustic signal processing; adaptive filters; adaptive signal processing; band-pass filters; discrete Fourier transforms; echo suppression; filtering theory; frequency-domain analysis; modulation; DFT modulated subband schemes; LMS based algorithms; acoustic echo cancelation; coloured far-end inputs; computation load; convergence; filter bank constraints; frequency-domain adaptive filters; frequency-domain based algorithms; subband adaptive filtering; subband adaptive filters; Adaptive filters; Band pass filters; Convergence; Echo cancellers; Filter bank; Filtering algorithms; Frequency domain analysis; Least squares approximation; Prototypes; Signal synthesis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applications of Signal Processing to Audio and Acoustics, 1997. 1997 IEEE ASSP Workshop on
Conference_Location :
New Paltz, NY
Print_ISBN :
0-7803-3908-8
Type :
conf
DOI :
10.1109/ASPAA.1997.625635
Filename :
625635
Link To Document :
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