DocumentCode
2026579
Title
Analysis of a low complexity variable step size adaptive algorithm
Author
Evans, Joseph B.
Author_Institution
Dept. of Electr. & Comput. Eng., Kansas Univ., Lawrence, KS, USA
Volume
3
fYear
1993
fDate
27-30 April 1993
Firstpage
484
Abstract
A number of variable-step-size algorithms have been proposed to improve the performance of stochastic gradient based adaptive systems. In the present work, the convergence and steady-state error performance of a low-implementation-complexity variable-step-size algorithm is analyzed. Iterative expressions for the evolution of the moments of the step size are derived and are used in conjunction with expressions for the mean square error to predict the learning curve. Expressions for the steady-state size, from which the steady-state mean square error can be found, are also developed. The analytical results are compared with simulation and good agreement is found.<>
Keywords
adaptive filters; computational complexity; convergence of numerical methods; iterative methods; convergence; learning curve; low complexity; simulation; steady-state mean square error; stochastic gradient based adaptive systems; variable step size adaptive algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location
Minneapolis, MN, USA
ISSN
1520-6149
Print_ISBN
0-7803-7402-9
Type
conf
DOI
10.1109/ICASSP.1993.319540
Filename
319540
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