Premium
A study of the ϵ ‐NLMS algorithm with application to stereophonic acoustic echo cancellation
Author(s) -
Hoya Tetsuya,
Chambers Jonathon A.,
Naylor Patrick A.
Publication year - 2000
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/1099-1115(200009)14:6<609::aid-acs606>3.0.co;2-o
Subject(s) - stereophonic sound , echo (communications protocol) , channel (broadcasting) , normalization (sociology) , algorithm , computer science , convergence (economics) , least mean squares filter , filter (signal processing) , adaptive filter , reverberation , speech recognition , acoustics , telecommunications , computer vision , physics , computer network , sociology , anthropology , economics , economic growth
In stereophonic acoustic echo cancellation (SAEC), one of the fundamental problems lies in the misalignment in the filter coefficients due to the two strongly correlated channel inputs. In this paper, we study the effect of the normalization factor, ϵ , upon the convergence properties of the two‐channel normalized least‐mean‐square ( ϵ ‐NLMS) algorithm, through analysis and simulation studies with real speech datasets. We then show that the optimal choice for ϵ may be close to the variance of the channel‐input data. Finally, a subband stereo echo canceller structure which uses a combination of the two‐channel ϵ ‐NLMS and the fast least‐squares (FLS) algorithms is proposed as a practical and promising solution to SAEC. Copyright © 2000 John Wiley & Sons, Ltd.