Title :
Analysis of an LMS-based algorithm using reduced number of computations
Author :
Abu-Ghalune, J.M. ; Khasawneh, M.A.
Author_Institution :
Dept. of Electr. Eng., Jordan Univ. of Sci. & Technol., Irbid, Jordan
Abstract :
Many algorithms have been used to improve the performance of the LMS algorithm. One such algorithm is the one given by Mayyas and Khasawnch (1993). In this paper, we give a mathematical analysis for this algorithm, derive a bound on its convergence parameter, δ, and modify it to reduce the number of computations from (6N-3) to (4N+1). Simulation results presented in this paper serve to justify the improved performance of this algorithm over its predecessor: the LMS algorithm
Keywords :
adaptive signal processing; convergence of numerical methods; least mean squares methods; LMS-based algorithm; computations reduction; convergence parameter bound; performance improvement; Algorithm design and analysis; Computational modeling; Convergence; Eigenvalues and eigenfunctions; Error correction; Finite impulse response filter; Least squares approximation; Signal processing;
Conference_Titel :
Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3073-0
DOI :
10.1109/ISCAS.1996.540343
