Complexity reduction of the NLMS algorithm via selective coefficient update

被引：103

作者：

Aboulnasr, T ^{[1
]}

Mayyas, K

机构：

[1] Univ Ottawa, Sch Informat Technol & Engn, Ottawa, ON K1N 6N5, Canada

[2] Jordan Univ Sci & Technol, Dept Elect Engn, Irbid, Jordan

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 1999年 / 47卷 / 05期

关键词：

Adaptive algorithms - Echo suppression - Errors - FIR filters - Maximum likelihood estimation - Parameter estimation - Performance - Signal to noise ratio - White noise;

D O I：

10.1109/78.757235

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：

This correspondence proposes an algorithm for partial update of the coefficients of the normalized least mean square (NLMS) finite impulse response (FIR) adaptive filter. It is shown that while the proposed algorithm reduces the complexity of the adaptive filter, it maintains the closest performance to the full update NLMS filter for a given number of updates. Analysis of the MSE convergence and steady-state performance for independent and identically distributed (i.i.d.) signals is provided for the extreme case of one update/iteration.

引用

页码：1421 / 1424

页数：4

共 9 条

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