DocumentCode
1056193
Title
The fast Newton transversal filter: an efficient scheme for acoustic echo cancellation in mobile radio
Author
Petillon, Thierry ; Gilloire, André ; Theodoridis, Sergios
Author_Institution
PRESCOM, Lannion, France
Volume
42
Issue
3
fYear
1994
fDate
3/1/1994 12:00:00 AM
Firstpage
509
Lastpage
518
Abstract
The authors investigate the recently suggested fast Newton family for adaptive filtering in the context of acoustic echo cancellation, with emphasis on the mobile radio case. A distinctive advantage of the fast Newton transversal filter (FNTF) is that it can offer high performance with speech inputs at low computational cost. They discuss possible implementations and compare the FNTF with classical schemes in terms of complexity. A complete numerically stabilized version is presented, and additional features for proper real-time operation with speech are discussed. Experimental comparisons using various signals and real situations show that in all cases, the FNTF behaves similarly to the standard fast RLS transversal filter (FTF) algorithm, whereas its complexity is only slightly higher than that of the normalized LMS (NLMS). Compared with the NLMS, the experiments show that in the context investigated, the latter exhibits inferior performance with respect to convergence and tracking. Thus, they demonstrate that the FNTF is an efficient scheme for acoustic echo cancellation in mobile radio
Keywords
adaptive filters; digital filters; filtering and prediction theory; identification; linear systems; mobile radio systems; acoustic echo cancellation; adaptive filtering; adaptive identification; convergence; fast Newton transversal filter; linear systems; mobile radio; performance; real-time operation; speech inputs; tracking; Covariance matrix; Echo cancellers; Finite impulse response filter; Land mobile radio; Least squares approximation; Resonance light scattering; Signal processing; Signal processing algorithms; Speech; Transversal filters;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.277843
Filename
277843
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