Fast converging LMS equalizer

S. H. Leung; B. L. Chan

doi:10.1049/el:19930554

Fast converging LMS equalizer

S. H. Leung
, B. L. Chan

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

4 Citations (Scopus)

Abstract

A simple and efficient method is presented that makes use of a predictor to reduce the eigenvalue spread (ES) of the input signal for improving the convergence rate of the least mean square (LMS) adaptive equalizer. The performance is analyzed by using a Gaussian assumption and is shown to be in good agreement with the simulations.

© The Institution of Electrical Engineers

Original language	English
Pages (from-to)	829-830
Journal	Electronics Letters
Volume	29
Issue number	10
DOIs	https://doi.org/10.1049/el:19930554
Publication status	Published - 13 May 1993

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title = "Fast converging LMS equalizer",

abstract = "A simple and efficient method is presented that makes use of a predictor to reduce the eigenvalue spread (ES) of the input signal for improving the convergence rate of the least mean square (LMS) adaptive equalizer. The performance is analyzed by using a Gaussian assumption and is shown to be in good agreement with the simulations. {\textcopyright} The Institution of Electrical Engineers",

author = "Leung, \{S. H.\} and Chan, \{B. L.\}",

year = "1993",

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TY - JOUR

T1 - Fast converging LMS equalizer

AU - Leung, S. H.

AU - Chan, B. L.

PY - 1993/5/13

Y1 - 1993/5/13

N2 - A simple and efficient method is presented that makes use of a predictor to reduce the eigenvalue spread (ES) of the input signal for improving the convergence rate of the least mean square (LMS) adaptive equalizer. The performance is analyzed by using a Gaussian assumption and is shown to be in good agreement with the simulations. © The Institution of Electrical Engineers

AB - A simple and efficient method is presented that makes use of a predictor to reduce the eigenvalue spread (ES) of the input signal for improving the convergence rate of the least mean square (LMS) adaptive equalizer. The performance is analyzed by using a Gaussian assumption and is shown to be in good agreement with the simulations. © The Institution of Electrical Engineers

UR - https://www.scopus.com/pages/publications/0027597023

UR - https://www.scopus.com/pages/publications/0027597023#tab=impact

U2 - 10.1049/el:19930554

DO - 10.1049/el:19930554

M3 - RGC 21 - Publication in refereed journal

SN - 0013-5194

VL - 29

SP - 829

EP - 830

JO - Electronics Letters

JF - Electronics Letters

IS - 10

ER -

Fast converging LMS equalizer

Abstract

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