Title :
Fast converging LMS equaliser
Author :
Leung, S.H. ; Chan, B.L.
Author_Institution :
City Univ. of Hong Kong, Kowloon, Hong Kong
fDate :
5/13/1993 12:00:00 AM
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 equaliser. The performance is analysed by using a Gaussian assumption and is shown to be in good agreement with the simulations.
Keywords :
adaptive filters; eigenvalues and eigenfunctions; equalisers; filtering and prediction theory; least squares approximations; signal processing; signal processing equipment; Gaussian assumption; LMS equaliser; convergence rate; eigenvalue spread; input signal; least mean square adaptive equaliser; predictor; prefiltering; simulations;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19930554
