Optimum error nonlinearities for long adaptive filters

被引：0

作者：

Al-Naffouri, TY ^{[1
]}

Sayed, AH ^{[1
]}

机构：

[1] Stanford Univ, Informat Syst Lab, Dept Elect Engn, Stanford, CA 94305 USA

来源：

2002 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-IV, PROCEEDINGS | 2002年

关键词：

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

In this paper, we consider the class of adaptive filters with error nonlinearities. In particular, we derive an expression for the optimum nonlinearity that minimizes the steady-state error and attains the limit mandated by the Cramer-Rao bound of the underlying estimation process.

引用

页码：1373 / 1376

页数：4

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