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A Fast Newton/LMS Algorithm

Tae-Sung KIM, Seong-Dae KIM

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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.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E77-A No.7 pp.1154-1156
Publication Date
1994/07/25
Publicized
Online ISSN
DOI
Type of Manuscript
PAPER
Category
Adaptive Signal Processing

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