Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
563658 | Signal Processing | 2011 | 10 Pages |
Abstract
We present a unified framework to analyze the mean and mean-square stability of a large class of adaptive filters. We do this without obtaining a full transient model, allowing us to acquire sufficient conditions on the stability without assuming a given statistical distribution for the input regressors. We also apply the proposed framework to some popular adaptive filtering schemes, showing that in some cases the sufficient conditions derived are very tight and even necessary too.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Leonardo Rey Vega, Hernan Rey, Jacob Benesty,