DocumentCode :
698220
Title :
Block-based multichannel transform-domain adaptive filtering
Author :
Spors, Sascha ; Buchner, Herbert ; Helwani, Karim
Author_Institution :
Deutsche Telekom Labs., Tech. Univ. Berlin, Berlin, Germany
fYear :
2009
fDate :
24-28 Aug. 2009
Firstpage :
1735
Lastpage :
1739
Abstract :
Multichannel adaptive filtering is subject to specific problems emerging from spatio-temporal couplings in the input signals of the adaptive filter. Transform-domain adaptive filtering (TDAF) decouples the input signal of the adaptive filter by a suitably chosen transformation. In a previous paper, the authors have introduced a two-stage approach to multichannel TDAF. However, the approach presented there based on a sample-by-sample update of the filter coefficients. In this paper we present a more practical block-based formulation of multichannel TDAF that is constructed from a combination of frequency-domain adaptive filtering for temporal decoupling and an unitary transform for spatial decoupling.
Keywords :
adaptive filters; estimation theory; signal reconstruction; block-based multichannel transform-domain adaptive filtering; filter coefficients; frequency-domain adaptive filtering; spatial decoupling; spatio-temporal couplings; unitary transform; Abstracts; Discrete Fourier transforms; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference, 2009 17th European
Conference_Location :
Glasgow
Print_ISBN :
978-161-7388-76-7
Type :
conf
Filename :
7077795
Link To Document :
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