A LMS algorithm with stochastic momentum factor

Author

Dali, Yang ; Zemin, Liu

Author_Institution

Beijing Univ. of Posts & Telecommun., China

Volume

3

fYear

1992

fDate

10-13 May 1992

Firstpage

1250

Abstract

A stochastic momentum factor least-mean-square algorithm (SMLMS) is proposed. The SMLMS algorithm considers the momentum factor α k as a stochastic attenuation factor so as to provide a better error bursting compensation and a small misadjustment for an adaptive filter. It is feasible to implement the SMLMS algorithm in a DSP (digital signal processing) chip or hardware with only a slight increase in computation over the MLMS and the LMS algorithms. Computer simulation results on the application of the SMLMS algorithm to adaptive FIR (finite impulse response) and IIR (infinite impulse response) filters are presented

Keywords

convergence; filtering and prediction theory; least squares approximations; FIR filter; IIR filter; LMS algorithm; adaptive filter; digital signal processing; error bursting compensation; finite impulse response; infinite impulse response; least-mean-square algorithm; stochastic momentum factor; Adaptive filters; Attenuation; Computer errors; Digital signal processing chips; Finite impulse response filter; Hardware; IIR filters; Least squares approximation; Signal processing algorithms; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on

Conference_Location

San Diego, CA

Print_ISBN

0-7803-0593-0

Type

conf

DOI

10.1109/ISCAS.1992.230279

Filename

230279