A Fast Newton/LMS Algorithm

Tae-Sung KIM  Seong-Dae KIM  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E77-A   No.7   pp.1154-1156
Publication Date: 1994/07/25
Online ISSN: 
DOI: 
Print ISSN: 0916-8508
Type of Manuscript: PAPER
Category: Adaptive Signal Processing
Keyword: 
adaptive signal processing,  LMS algorithm,  

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Summary: 
A fast Newton/LMS algorithm is proposed which uses an efficient inversion technique of input autocorrelation matrix when the periodic pseudo random sequence is used as the reference signal. The number of operations is greatly reduced and the computational results show fast convergence rate and low misadjustment error. And the application of the algorithm to the case of nonperiodic reference signal is described.