The non-canonical LMS algorithm (NCLMS): characteristics and analysis

Author

Gan, W.S. ; Soraghan, J.J. ; Stewart, R.W. ; Durrani, T.S.

Author_Institution

Dept. of Electron. & Electr. Eng., Strathclyde Univ., Glasgow, UK

fYear

1991

fDate

14-17 Apr 1991

Firstpage

2137

Abstract

The authors present analysis and simulations of an LMS (least mean square) based adaptive filtering algorithm called the NCLMS (non-canonical LMS). Rather than using the standard FIR (finite impulse response) filter as for the LMS algorithm, a modified structure called the NCFIR (non-canonical FIR) is used. The NCFIR allows a faster VLSI implementation than the conventional FIR. A comparison of the performances of the NCLMS and conventional LMS algorithm is presented for an inverse system modeling application. Simulation results are given which show a reduced EMSE (excess mean square error) level and an improved performance in an impulsive noise environment for the NCLMS over the LMS algorithm

Keywords

adaptive filters; digital filters; filtering and prediction theory; least squares approximations; LMS algorithm; VLSI; adaptive filtering algorithm; excess mean square error; finite impulse response; impulsive noise environment; inverse system modeling; least mean square; noncanonical FIR filter; noncanonical LMS algorithm; simulations; Adaptive filters; Algorithm design and analysis; Analytical models; Filtering algorithms; Finite impulse response filter; Least squares approximation; Mean square error methods; Modeling; Noise reduction; Very large scale integration;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on

Conference_Location

Toronto, Ont.

ISSN

1520-6149

Print_ISBN

0-7803-0003-3

Type

conf

DOI

10.1109/ICASSP.1991.150835

Filename

150835