Tracking Analysis of Adaptive Filters with Data Normalization and Error Nonlinearities

被引:3
|
作者
Wee, Wemer M. [1 ]
Yamada, Isao [1 ]
机构
[1] Tokyo Inst Technol, Dept Commun & Comp Engn, Tokyo 1528550, Japan
基金
日本学术振兴会;
关键词
adaptive filter; energy-conservation; error nonlinearity; data normalization; tracking analysis; transient analysis; steady-state analysis; STEADY-STATE; TRANSIENT ANALYSIS; ALGORITHM; PERFORMANCE;
D O I
10.1587/transfun.E96.A.2198
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a unified treatment of the tracking analysis of adaptive filters with data normalization and error nonlinearities. The approach we develop is based on the celebrated energy-conservation framework, which investigates the energy flow through each iteration of an adaptive filter. Aside from deriving earlier results in a unified manner, we obtain new performance results for more general filters without restricting the regression data to a particular distribution. Simulations show good agreement with the theoretical findings.
引用
收藏
页码:2198 / 2208
页数:11
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