Abstract
This paper proposes an improved variable step-size (VSS) scheme for zero-point attracting projection (ZAP) algorithm. The proposed VSS is proportional to the sparseness difference between filter coefficients and the true impulse response. Meanwhile, it works for both sparse and non-sparse system identification, and simulation results demonstrate that the proposed algorithm could provide both faster convergence rate and better tracking ability than previous ones.
Recommended Citation
J. Liu and S. L. Grant, "An Improved Variable Step-size Zero-point Attracting Projection Algorithm," ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 604 - 608, article no. 7178040, Institute of Electrical and Electronics Engineers, Aug 2015.
The definitive version is available at https://doi.org/10.1109/ICASSP.2015.7178040
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
adaptive filter; sparse system identification; Variable step-size; zero-point attracting projection
International Standard Book Number (ISBN)
978-146736997-8
International Standard Serial Number (ISSN)
1520-6149
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
04 Aug 2015
