Please use this identifier to cite or link to this item: http://gukir.inflibnet.ac.in:8080/jspui/handle/123456789/3780
Title: An evolutionary variable step size control technique for lacking length of fixed LMS algorithm
Authors: Ajjaiah H.B.M
Vani R.M
Hunagund P.V
Rao B.R
Lavanya S.A
Ujwal Y.
Keywords: Adaptive filters
Evolutionary algorithm
Least-mean square (LMS)
Issue Date: 2017
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: 2016 International Conference on Electrical, Electronics, Communication, Computer and Optimization Techniques, ICEECCOT 2016 , Vol. , , p. 151 - 154
Abstract: In real time situations, IIR filter typically works in an under-modelling situation for a system where infinite impulse response (IIR) filter of the system is prodigiously long. In this anterior work there is an inadequate-length of fixed least-mean-square (FLMS), the convergence based on step value can be improved. Various methods for FLMS algorithm had been presented. This paper provides an Evolutionary Variable step size (EVSS) control method for improving convergence and MSE algorithm is proposed. © 2016 IEEE.
URI: 10.1109/ICEECCOT.2016.7955205
http://gukir.inflibnet.ac.in:8080/jspui/handle/123456789/3780
Appears in Collections:2. Conference Papers

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