A robust variable step-size affine projection algorithm

We present a robust variable step-size affine projection algorithm (RVSS-APA) using a recently introduced new framework for designing robust adaptive filters. The algorithm is the result of minimizing the square norm of the a posteriori error vector subject to a time-dependent constraint on the norm...

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Bibliographic Details
Published in:Signal processing Vol. 90; no. 9; pp. 2806 - 2810
Main Authors: Rey Vega, Leonardo, Rey, Hernan, Benesty, Jacob
Format: Journal Article
Language:English
Published: Amsterdam Elsevier B.V 01.09.2010
Elsevier
Subjects:
Acoustic echo cancellation
Acoustics
Adaptive filters
Affine projection algorithm
Algorithms
Applied sciences
Cancellation
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Impulsive noise
Information, signal and communications theory
Mathematical analysis
Miscellaneous
Norms
Projection
Robust filtering
Signal and communications theory
Signal processing
Signal, noise
System identification
Telecommunications and information theory
Vectors (mathematics)
Impulsive noise
Robust filtering
Acoustic echo cancellation
System identification
Affine projection algorithm
Noise reduction
Updating
Adaptive filter
Acoustic signal processing
Echo suppression
Affine transformation
Algorithm
Temporal constraint
Variable step method
Robust control
Time dependence
Pulse noise
Acoustic noise
Signal processing
ISSN:0165-1684, 1872-7557
Online Access:Get full text
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Description
Summary:We present a robust variable step-size affine projection algorithm (RVSS-APA) using a recently introduced new framework for designing robust adaptive filters. The algorithm is the result of minimizing the square norm of the a posteriori error vector subject to a time-dependent constraint on the norm of the filter update. The RVSS-APA is then successfully tested in different environments for system identification and acoustic echo cancellation applications.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0165-1684
1872-7557
DOI:10.1016/j.sigpro.2010.03.029