DocumentCode
2899288
Title
The fast affine projection algorithm
Author
Gay, Steven L. ; Tavathia, Sanjeev
Author_Institution
Dept. of Acoust. Res., AT&T Bell Labs., Murray Hill, NJ, USA
Volume
5
fYear
1995
fDate
9-12 May 1995
Firstpage
3023
Abstract
This paper discusses a new adaptive filtering algorithm called fast affine projections (FAP). FAP´s key features include LMS like complexity and memory requirements (low), and RLS like convergence (fast) for the important case where the excitation signal is speech. Another of FAP´s important features is that it causes no delay in the input or output signals. In addition, the algorithm is easily regularized resulting in robust performance even for highly colored excitation signals. The combination of these features make FAP an excellent candidate for the adaptive filter in the acoustic echo cancellation problem. A simple, low complexity numerical stabilization method for the algorithm is also introduced
Keywords
adaptive filters; adaptive signal processing; computational complexity; echo; least mean squares methods; speech processing; LMS like complexity; RLS like convergence; acoustic echo cancellation problem; adaptive filtering algorithm; excitation signal; fast affine projection algorithm; highly colored excitation signals; low complexity numerical stabilization method; memory requirements; performance; Adaptive filters; Convergence; Delay; Filtering algorithms; Financial advantage program; Least squares approximation; Projection algorithms; Resonance light scattering; Robustness; Speech;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location
Detroit, MI
ISSN
1520-6149
Print_ISBN
0-7803-2431-5
Type
conf
DOI
10.1109/ICASSP.1995.479482
Filename
479482
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