z2-proportionate diffusion LMS algorithm with mean square performance analysis
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- 作者：Han-Sol Lee skyst24@postech.ac.kr" class="auth_mail" title="E-mail the corresponding author ; Sung-Hyuk Yim isurus83@postech.ac.kr" class="auth_mail" title="E-mail the corresponding author ; Woo-Jin Song ; wjsong@postech.ac.kr" class="auth_mail" title="E-mail the corresponding author
- 关键词：Distributed estimation ; Sparse adaptive filter ; Proportionate-type diffusion LMS algorithm
- 刊名：Signal Processing
- 出版年：2017
- 出版时间：February 2017
- 年：2017
- 卷：131
- 期：Complete
- 页码：154-160
- 全文大小：1097 K
文摘
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We propose a computationally efficient proportionate-type diffusion LMS algorithm.
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Gains are proportional to the estimated mean square weight error.
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Mean-square performance analysis of the proposed algorithm is conducted without Gaussian assumption of unknown vector estimates.