DocumentCode :
3012037
Title :
On the robust and efficient computation of the Kalman gain for multichannel adaptive filtering with application to acoustic echo cancellation
Author :
Helwani, Karim ; Buchner, Herbert ; Spors, Sascha
Author_Institution :
Quality & Usability Lab., Berlin Univ. of Technol., Berlin, Germany
fYear :
2010
fDate :
7-10 Nov. 2010
Firstpage :
988
Lastpage :
992
Abstract :
In this paper we discuss efficient approaches for a robust computation of the spatio-temporal Kalman gain in the context of adaptive multichannel systems. We apply the given approaches to the multichannel acoustic echo cancellation problem as representative for the class of system identification problems. Moreover, we provide a complexity and performance analysis of our approaches and compare the results to the conventional spatio-temporal Kalman gain computation methods.
Keywords :
Kalman filters; acoustic signal processing; adaptive filters; echo suppression; signal denoising; multichannel acoustic echo cancellation problem; multichannel adaptive filtering; spatio-temporal Kalman filter gain; system identification problems; Acoustics; Adaptive systems; Complexity theory; Correlation; Eigenvalues and eigenfunctions; Kalman filters; Transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers (ASILOMAR), 2010 Conference Record of the Forty Fourth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
978-1-4244-9722-5
Type :
conf
DOI :
10.1109/ACSSC.2010.5757548
Filename :
5757548
Link To Document :
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