Towards analytical convergence analysis of proportionate-type, NLMS algorithms

被引：19
|
作者：
Wagner, Kevin T. [1 ]
Doroslovacki, Milos I. [2 ]
机构：
[1] USN, Res Lab, Div Radar, Washington, DC 20375 USA
[2] George Washington Univ, Dept Elect & Comp Engn, Washington, DC 20052 USA
来源：
2008 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-12 | 2008年
关键词：
adaptive filtering; convergence; proportionate-type normalized least mean square (PtNLMS) algorithm; sparse impulse response;
D O I：
10.1109/ICASSP.2008.4518487
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
To date no theoretical results have been developed to predict the performance of the proportionate normalized least mean square (PNLMS) algorithm or any of its cousin algorithms such as the mu-law PNLMS (MPNLMS), and the epsilon-law PNLMS (EPNLMS). In this paper we develop an analytic approach to predicting the performance of the simplified PNLMS algorithm which is closely related to the PNLMS algorithm. In particular we demonstrate die ability to predict the Mean Square Output Error of the simplified PNLMS algorithm using our theory.
引用
收藏
页码：3825 / +
页数：2
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