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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.479482