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TSP
2008

A New Robust Variable Step-Size NLMS Algorithm

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A New Robust Variable Step-Size NLMS Algorithm
A new framework for designing robust adaptive filters is introduced. It is based on the optimization of a certain cost function subject to a time-dependent constraint on the norm of the filter update. Particularly, we present a robust variable step-size NLMS algorithm which optimizes the square of the a posteriori error. We also show the link between the proposed algorithm and another one derived using a robust statistics approach. In addition, a theoretical model for predicting the transient and steady-state behavior and a proof of almost sure filter convergence are provided. The algorithm is then tested in different environments for system identification and acoustic echo cancelation applications.
Leonardo Rey Vega, Hernan Rey, Jacob Benesty, Sara
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2008
Where TSP
Authors Leonardo Rey Vega, Hernan Rey, Jacob Benesty, Sara Tressens
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