Abstract
Two proportionate affine projection sign algorithms (APSAs) are proposed for system identification applications, such as network echo cancellation (NEC), where the impulse response is often real valued with sparse coefficients and long filter length. the proposed proportionate-type algorithms can achieve fast convergence and low steady-state misalignment by adopting a proportionate regularization matrix to the APSA. Benefiting from the characteristic of l1-norm algorithms, affine projection, and proportionate matrix, the new algorithms are robust to impulsive interferences and colored input and achieve much faster convergence rate in sparse impulse responses than the original APSA, the normalized sign algorithm (NSA), and the proportionate least mean square (PNLMS) algorithm. the computational complexity of the new algorithms is lower than the affine projection algorithm (APA) family due to elimination of matrix inversion. © 2011 IEEE.
Recommended Citation
Z. Yang et al., "Proportionate Affine Projection Sign Algorithms for Sparse System Identification in Impulsive Interference," ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 4068 - 4071, article no. 5947246, Institute of Electrical and Electronics Engineers, Aug 2011.
The definitive version is available at https://doi.org/10.1109/ICASSP.2011.5947246
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Adaptive filter; affine projection algorithm; network echo cancellation (NEC); proportionate adaptive algorithm; sign algorithm
International Standard Book Number (ISBN)
978-145770539-7
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
18 Aug 2011
