Title :
Comparative analysis between noncanonical LMS and LMS adaptive filtering
Author :
Gan, W.S. ; Soraghan, John J. ; Stewart, R.W. ; Durrani, T.S.
Author_Institution :
Dept. of Electr. & Eletron. Eng., Strathclyde Univ., Glasgow, UK
fDate :
5/23/1991 12:00:00 AM
Abstract :
Analysis and simulations to compare the standard least mean square (LMS) algorithm to the noncanonical LMS (NCLMS) algorithm are presented. The NCLMS algorithm is implemented using a variant of the standard FIR, called the noncanonical FIR (NCFIR). Simulation results are given which show a reduced excess mean square error (EMSE) level and an improved performance in an impulsive noise environment for the NCLMS over the conventional LMS algorithm.
Keywords :
adaptive filters; digital filters; filtering and prediction theory; least squares approximations; excess mean square error; impulsive noise environment; least mean square; noncanonical FIR; noncanonical LMS; standard FIR; standard LMS;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19910592
