Dynamic Convergence of LMS Algorithm Using New Step Size

LMS Algorithm already has a standard step-size, mu. This paper still optimizes the existing step-size, while it is under processing. It simply introduces a dynamically varying parameter at the denominator of the step-size so that the convergence rate of the system will drastically improve. Mean time...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Gurung, J.B., Khargekar, A.K., Kumaravelu, P.G.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Adaptive signal processing Autocorrelation Convergence Equalizers Iterative algorithms Least squares approximation Resonance light scattering Signal processing Signal processing algorithms Stability
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