Mean-Square Analysis of Normalized Leaky Adaptive Filters

Sayed, Ali H.; Al-Naffouri, Tareq Y.

doi:10.1109/ICASSP.2001.940689

Mean-Square Analysis of Normalized Leaky Adaptive Filters

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.

Published in:

Acoustics, Speech, anProceedings IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP, 6, 3873-3876

Presented at:

IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP, Salt Lake City, UT, USA, May 7-11, 2001

Year:

2001

DOI:

10.1109/ICASSP.2001.940689

Laboratories:

ASL

Record appears in:

Scientific production and competences > STI - School of Engineering > IEL - Institute of Electrical Engineering > ASL - Adaptative Systems Laboratory
Peer-reviewed publications
Work outside EPFL
Conference Papers
Published