Title :
Mean-square analysis of normalized leaky adaptive filters
Author :
Sayed, Ali H. ; Al-Naffouri, Tareq Y.
Author_Institution :
Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
Abstract :
We study leaky adaptive algorithms that employ a general scalar or matrix data nonlinearity. We perform mean-square analysis of this class of algorithms without imposing restrictions on the distribution of the input signal. In particular, we derive conditions on the step-size for stability, and provide closed form expressions for the steady-state performance
Keywords :
adaptive filters; matrix algebra; mean square error methods; numerical stability; closed form expressions; matrix data nonlinearity; mean square analysis; normalized leaky adaptive filters; scalar data nonlinearity; stability; steady-state performance; step size; Adaptive algorithm; Adaptive filters; Algorithm design and analysis; Data engineering; Noise measurement; Performance analysis; Signal analysis; Steady-state; Symmetric matrices; Transient analysis;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.940689
