A unified approach to the steady-state and tracking analyses of adaptive filters

被引：210
|
作者：
Yousef, NR [1 ]
Sayed, AH [1 ]
机构：
[1] Univ Calif Los Angeles, Dept Elect Engn, Los Angeles, CA 90095 USA
来源：
IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2001年 / 49卷 / 02期
基金：
美国国家科学基金会;
关键词：
adaptive filter; feedback analysis; mean-square error; steady-state analysis; tracking analysis; transient analysis;
D O I：
10.1109/78.902113
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：
Most adaptive filters are inherently nonlinear and time-variant systems. The nonlinearities in the update equations tend to lead to difficulties in the study of their steady-state performance as a limiting case of their transient performance. This paper develops a unified approach to the steady-state and tracking analyses of adaptive algorithms that bypasses many of these difficulties. The approach is based on the study of the energy flow through each iteration of an adaptive filter, and it relies on a fundamental error variance relation.
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页码：314 / 324
页数：11
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