An Optimized Zero-Attracting LMS Algorithm for the Identification of Sparse System
Author:
Affiliation:
1. Key Laboratory of Optoelectronic Technology and Systems, Education Ministry of China, Chongqing University, Chongqing, China
2. School of Electrical Engineering, Yanshan University, Qinhuangdao, China
Funder
National Natural Science Foundation of China
China Postdoctoral Science Foundation
Chongqing Postdoctoral Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics
Link
http://xplorestaging.ieee.org/ielx7/6570655/9657755/09903570.pdf?arnumber=9903570
Reference29 articles.
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4. Proportionate normalized subband adaptive filter algorithms for sparse system identification
5. A Low Delay and Fast Converging Improved Proportionate Algorithm for Sparse System Identification
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