DocumentCode
2836207
Title
A comparative study of the approximate RLS with LMS and RLS algorithms
Author
Chansarkar, M.Y. ; Desai, U.B. ; Rao, B.V.
Author_Institution
Dept. of Electr. Eng., Indian Inst. of Technol., Bombay, India
fYear
1989
fDate
22-24 Nov 1989
Firstpage
255
Lastpage
258
Abstract
Motivated by the real time application of adaptive signal processing algorithms, an approximate RLS (recursive least squares) algorithm is proposed. This algorithm has convergence behavior comparable to the RLS algorithm, and computational complexity comparable to the LMS (least mean square) algorithm. Simulation studies comparing the three algorithms in various modes of adaptive processing are presented
Keywords
least squares approximations; signal processing; LMS algorithm; RLS algorithm; adaptive signal processing algorithms; approximate RLS algorithm; computational complexity; convergence; least mean square; real time application; recursive least squares; simulation; Delay; Equations; Instruments; Least squares approximation; Noise cancellation; Predictive models; Resonance light scattering; Signal to noise ratio; Stochastic processes; System identification;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON '89. Fourth IEEE Region 10 International Conference
Conference_Location
Bombay
Type
conf
DOI
10.1109/TENCON.1989.176935
Filename
176935
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