A LMS algorithm with stochastic momentum factor

A stochastic momentum factor least-mean-square algorithm (SMLMS) is proposed. The SMLMS algorithm considers the momentum factor alpha 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 impleme...

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Bibliographic Details
Published inIEEE International Symposium on Circuits and Systems, 1992 Vol. 3; pp. 1250 - 1253 vol.3
Main Authors Yang Dali, Liu Zemin
Format Conference Proceeding
LanguageEnglish
Published IEEE 1992
Subjects
Adaptive filters
Attenuation
Computer errors
Digital signal processing chips
Finite impulse response filter
Hardware
IIR filters
Least squares approximation
Signal processing algorithms
Stochastic processes
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ISBN9780780305939
0780305930
DOI10.1109/ISCAS.1992.230279

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Summary:A stochastic momentum factor least-mean-square algorithm (SMLMS) is proposed. The SMLMS algorithm considers the momentum factor alpha 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.< >
ISBN:9780780305939
0780305930
DOI:10.1109/ISCAS.1992.230279