DocumentCode
1506247
Title
Adaptive echo cancellation using least mean mixed-norm algorithm
Author
Zerguine, A. ; Cowan, C.F.N. ; Bettayeb, M.
Author_Institution
Dept. of Electron. & Electr. Eng., Loughborough Univ. of Technol., UK
Volume
45
Issue
5
fYear
1997
fDate
5/1/1997 12:00:00 AM
Firstpage
1340
Lastpage
1343
Abstract
A novel algorithm for echo cancellation is presented in this work. The algorithm consists of simultaneously applying the least mean square (LMS) algorithm to the near-end section of the echo canceller and the least mean fourth (LMF) algorithm to the far-end section. This new scheme results in a substantial performance improvement over the LMS algorithm and other algorithms
Keywords
adaptive filters; convergence of numerical methods; echo suppression; filtering theory; least mean squares methods; LMF algorithm; LMS algorithm; adaptive echo cancellation; convergence; least mean fourth algorithm; least mean mixed-norm algorithm; least mean square algorithm; Adaptive filters; Convergence; Delay; Echo cancellers; Finite impulse response filter; Least squares approximation; Mean square error methods; Minerals; Petroleum; Resonance light scattering;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.575705
Filename
575705
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