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
Laboratories:




 Record created 2017-12-19, last modified 2018-03-17


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