An Efficient Iterative Method for Basis Pursuit Adaptive Filters for Sparse Systems
Abstract
The "proportionate" family of adaptive filters has been in use over the past decade. their fast convergence for sparse systems makes them particularly useful in the network echo canceller application. Recently, an iterative form of the proportionate affine projection algorithm (PAPA), derived from the basic principles of basis pursuit, has been shown to have remarkably fast convergence for such sparse systems. the number of samples for convergence is proportional to the sparseness of the system which means that often full convergence occurs in fewer samples than the length of the system's impulse response. Here, we introduce a lower complexity implementation with the same performance that is an iterative version of proportionate normalized least mean squares (PNLMS). © 2012 APSIPA.
Recommended Citation
S. L. Grant et al., "An Efficient Iterative Method for Basis Pursuit Adaptive Filters for Sparse Systems," 2012 Conference Handbook - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012, article no. 6411943, Scimago Journal and Country Rank, Dec 2012.
Department(s)
Electrical and Computer Engineering
International Standard Book Number (ISBN)
978-061570050-2
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Scimago Journal and Country Rank, All rights reserved.
Publication Date
01 Dec 2012
