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
收藏
页码：1373 / 1376
页数：4
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