Title :
Low-delay frequency domain LMS algorithm
Author :
Amrane, O. Ait ; Moulines, E. ; Charbit, M. ; Grenier, Y.
Author_Institution :
CNRS URA, Telecom Paris, France
Abstract :
The authors deal with frequency-domain (FD) adaptive identification with application to acoustic echo cancellation. Several proposed frequency-domain LMS algorithms are reviewed and unified in the common framework of fast convolution using the short-term Fourier transform. A more flexible identification scheme is then proposed, making it possible to independently control the delay and the adaptation rate. The theoretical proof of convergence of this new scheme is provided together with simulations demonstrating the efficiency of this method in both stationary and nonstationary environments
Keywords :
Fourier transforms; acoustic signal processing; adaptive filters; convergence; digital filters; echo suppression; frequency-domain analysis; least squares approximations; acoustic echo cancellation; adaptive identification; convergence; frequency domain LMS algorithm; low delay; short-term Fourier transform; Acoustic applications; Convergence; Convolution; Delay; Discrete Fourier transforms; Echo cancellers; Finite impulse response filter; Fourier transforms; Frequency domain analysis; Least squares approximation;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0532-9
DOI :
10.1109/ICASSP.1992.226424