A gradient-controlled proportionate technique for acoustic echo cancellation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

In acoustic echo cancellation (AEC), the echo paths are often long, sparse and rapidly changing. In this paper, a new gradient controlled proportionate adaptation technique is proposed for AEC. A time-averaging gradient estimate is assigned as the gain distribution vector to assign individual step sizes so that the filter taps are updated proportionally to the magnitude of the mean of the gradient vector. Based on this new proportionate technique, we propose the gradient-controlled improved proportionate affine projection algorithm (GC-IPAPA), and gradient-controlled improved proportionate normalized least mean square algorithm (GC-IPNLMS). Simulation results demonstrate significant improvements in convergence rate and a more robust performance compared with traditional proportionate algorithms for AEC.

Original languageEnglish (US)
Title of host publicationConference Record of the 47th Asilomar Conference on Signals, Systems and Computers
PublisherIEEE Computer Society
Pages1941-1945
Number of pages5
ISBN (Print)9781479923908
DOIs
StatePublished - Jan 1 2013
Event2013 47th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
Duration: Nov 3 2013Nov 6 2013

Other

Other2013 47th Asilomar Conference on Signals, Systems and Computers
CountryUnited States
CityPacific Grove, CA
Period11/3/1311/6/13

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