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Please use this identifier to cite or link to this item: http://gukir.inflibnet.ac.in:8080/jspui/handle/123456789/3780
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dc.contributor.authorAjjaiah H.B.M
dc.contributor.authorVani R.M
dc.contributor.authorHunagund P.V
dc.contributor.authorRao B.R
dc.contributor.authorLavanya S.A
dc.contributor.authorUjwal Y.
dc.date.accessioned2020-06-12T15:01:18Z-
dc.date.available2020-06-12T15:01:18Z-
dc.date.issued2017
dc.identifier.citation2016 International Conference on Electrical, Electronics, Communication, Computer and Optimization Techniques, ICEECCOT 2016 , Vol. , , p. 151 - 154en_US
dc.identifier.uri10.1109/ICEECCOT.2016.7955205
dc.identifier.urihttp://gukir.inflibnet.ac.in:8080/jspui/handle/123456789/3780-
dc.description.abstractIn 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.en_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.subjectAdaptive filters
dc.subjectEvolutionary algorithm
dc.subjectLeast-mean square (LMS)
dc.titleAn evolutionary variable step size control technique for lacking length of fixed LMS algorithmen_US
dc.typeConference Paper
Appears in Collections:2. Conference Papers

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