DocumentCode
2908775
Title
Dynamic Convergence of LMS Algorithm Using New Step Size
Author
Gurung, J.B. ; Khargekar, A.K. ; Kumaravelu, P.G.
Author_Institution
KNS Inst. of Technol., Bangalore
fYear
2007
fDate
26-28 Sept. 2007
Firstpage
162
Lastpage
163
Abstract
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 this empirical result shows that the unstable problem of the LMS algorithm is also minimized to the large extends.
Keywords
convergence of numerical methods; least mean squares methods; LMS algorithm; dynamic convergence; dynamically varying parameter; new step size; Adaptive signal processing; Autocorrelation; Convergence; Equalizers; Iterative algorithms; Least squares approximation; Resonance light scattering; Signal processing; Signal processing algorithms; Stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Integrated Circuits, 2007. ISIC '07. International Symposium on
Conference_Location
Singapore
Print_ISBN
978-1-4244-0797-2
Electronic_ISBN
978-1-4244-0797-2
Type
conf
DOI
10.1109/ISICIR.2007.4441822
Filename
4441822
Link To Document