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Title: Block-sparsity-aware LMS algorithm for network echo cancellation
Authors: Wei, Ye
Zhang, Yonggang
Wang, Chengcheng
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Network Echo Cancellation
Block-sparsity-aware LMS algorithm
Issue Date: 2018
Source: Wei, Y., Zhang, Y., & Wang, C. (2018). Block-sparsity-aware LMS algorithm for network echo cancellation. Electronics Letters, 54(15), 951-953. doi:10.1049/el.2018.1065
Series/Report no.: Electronics Letters
Abstract: Network echo path impulse response is single-block-sparse in nature. In order to obtain a single-block-sparse estimate of the unknown echo path, a new least mean squares (LMS) algorithm is proposed by introducing the penalty of single block sparsity, which is the difference between the mixed l 2,1 norm and l 2 norm of the uniformly partitioned filter tap-weight vector, into the original mean-square-error cost function. This is motivated by the fact that the difference between the mixed l 2,1 norm and l 2 norm of a vector is minimised only when there is at most one non-zero block in the vector. Numerical simulation results show that the proposed algorithm can effectively estimate and track the unknown echo path, outperforming existing block-sparsity-induced LMS algorithms.
ISSN: 0013-5194
DOI: 10.1049/el.2018.1065
Rights: © 2018 The Institution of Engineering and Technology. This paper was published in Electronics Letters and is made available as an electronic reprint (preprint) with permission of The Institution of Engineering and Technology. The published version is available at:[]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
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