DocumentCode
302122
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
Volume
2
fYear
1996
fDate
12-15 May 1996
Firstpage
25
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ISCAS.1996.540343
Filename
540343
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