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A LMS algorithm with stochastic momentum factor

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2 Author(s)
Yang Dali ; Beijing Univ. of Posts & Telecommun., China ; Liu Zemin

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

Published in:

Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on  (Volume:3 )

Date of Conference:

10-13 May 1992