PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Improved Adaptive Filtering Schemes via Adaptive Combination
Jerónimo Arenas-Garcia, Luis Azpicueta-Ruiz and Aníbal R. Figueiras-Vidal
In: 43rd Proc. Asilomar Conf. on Signals, Systems, and Computers(2009).

Abstract

Combination schemes are gaining attention as an interesting way to improve adaptive filter performance. In this paper, we present some recently proposed practical schemes for convex and affine filter combination, explaining how they can be useful to overcome some of the most important limitations of conventional adaptive filters. We will also illustrate the benefits of this approach with several experiments. First, we explain how the combination can reduce the mean square error (MSE) of adaptive filters by biasing their outputs. We present also some recent results in real scenarios for acoustic echo cancellation.

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EPrint Type:Conference or Workshop Item (Lecture)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
ID Code:6698
Deposited By:Jerónimo Arenas-Garcia
Deposited On:08 March 2010