Steady-State Performance of Non-Negative Least-Mean-Square Algorithm and Its Variants

被引：23

作者：

Chen, Jie ^{[1
]}

Bermudez, Jose Carlos M. ^{[2
]}

Richard, Cedric ^{[1
]}

机构：

[1] Univ Nice Sophia Antipolis, CNRS, Lagrange Lab, Observ Cote Azur, F-06108 Nice 2, France

[2] Univ Fed Santa Catarina, Dept Elect Engn, BR-88040900 Florianopolis, SC, Brazil

来源：

IEEE SIGNAL PROCESSING LETTERS | 2014年 / 21卷 / 08期

关键词：

Non-negative LMS; steady-state performance; excess mean-square error; stochastic behavior;

D O I：

10.1109/LSP.2014.2320944

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The Non-Negative Least-Mean-Square (NNLMS) algorithm and its variants have been proposed for online estimation under non-negativity constraints. The transient behavior of the NNLMS, Normalized NNLMS, Exponential NNLMS and Sign-Sign NNLMS algorithms have been studied in the literature. In this letter, we derive closed-form expressions for the steady-state excess mean-square error (EMSE) for the four algorithms. Simulation results illustrate the accuracy of the theoretical results. This work complements the understanding of the behavior of these algorithms.

引用

页码：928 / 932

页数：5

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