DocumentCode
1749418
Title
An efficient multichannel line echo canceler algorithm for PSTN and VoIP/VoDSL applications
Author
Sugiyama, Akihiko ; Yamaji, Tetsuro
Author_Institution
Comput. & Commun. Media Res., NEC Corp., Kanagawa, Japan
Volume
5
fYear
2001
fDate
2001
Firstpage
3229
Abstract
This paper proposes an efficient multichannel line echo canceler algorithm with interchannel distribution of computations. A limited number of coefficient adaptations are distributed among channels depending on the degree of convergence and the input signal power to achieve up to 50% reduction of total computations. Coefficient adaptations are more frequently performed in the channels where convergence is behind others and there is a sufficient input power. As the index to the degree of convergence, an averaged sum of squared coefficients is used. Its gradient weighted with the input signal power is evaluated for interchannel distribution of coefficient adaptations. Simulation results with white Gaussian signals and speech signals demonstrate good convergence. The efficiency of coefficient adaptations is improved by 30% over the conventional algorithm. The computational savings can be used to accommodate more channels on the same chip, or to cover a longer echo-path with additional delays by codecs and/or ATM cell assembly/disassembly. It is also promising for analog interface in IAD and SOHO routers for VoIP/VoDSL applications
Keywords
Gaussian channels; Internet telephony; convergence of numerical methods; echo suppression; gradient methods; speech processing; PSTN; VoDSL; VoIP; averaged sum squared coefficients; coefficient adaptations; convergence; gradient weighting; interchannel distribution; multichannel line echo canceler; speech signals; white Gaussian signals; Added delay; Application software; Computational modeling; Convergence; Distributed computing; Internet telephony; National electric code; Power engineering and energy; Power engineering computing; Speech;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location
Salt Lake City, UT
ISSN
1520-6149
Print_ISBN
0-7803-7041-4
Type
conf
DOI
10.1109/ICASSP.2001.940346
Filename
940346
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