Simplified Newton-type adaptive estimation algorithms

被引：11

作者：

Mavridis, PP ^{[1
]}

Moustakides, GV ^{[1
]}

机构：

[1] COMP TECHNOL INST PATRAS,GR-21100 PATRAS,GREECE

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 1996年 / 44卷 / 08期

关键词：

D O I：

10.1109/78.533714

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：

A new adaptive estimation algorithm is presented. It is the result of a combination of the LMS and the fast Newton transversal filters (FNTF) class. The main characteristic of the proposed algorithm is its improved convergence rate as compared to LMS, for cases where it is known that LMS behaves poorly. This improved characteristic is achieved in expense of a slight increase in the computational complexity while the overall algorithmic structure is very simple (LMS type), The proposed algorithm seems also to compare relatively well against RLS and FNTF.

引用

页码：1932 / 1940

页数：9

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