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
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;
Conference_Titel :
TENCON '89. Fourth IEEE Region 10 International Conference
Conference_Location :
Bombay
DOI :
10.1109/TENCON.1989.176935
