DocumentCode
1279380
Title
Variable length stochastic gradient algorithm
Author
Pritzker, Zeev ; Feuer, Arie
Author_Institution
Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel
Volume
39
Issue
4
fYear
1991
fDate
4/1/1991 12:00:00 AM
Firstpage
997
Lastpage
1001
Abstract
The transversal variable-length stochastic gradient algorithm is described. It is a modification of the stochastic gradient algorithm that allows dynamic allocation of coefficients of an adaptive filter. The order of the filter and the adaptation step size are changed automatically when an appropriate level of performance is reached during the course of the adaptation process. In this way, the algorithm results in fast convergence, typical of low-order filters, and good steady-state performance, typical of high-order filters
Keywords
adaptive filters; digital filters; adaptation step size; adaptive filter; coefficients; convergence; dynamic allocation; filter order; high-order filters; low-order filters; steady-state performance; stochastic gradient algorithm; transversal variable length algorithm; Algebra; Approximation algorithms; Convergence; Equations; Filters; Least squares approximation; Signal processing algorithms; Steady-state; Stochastic processes; Video recording;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.80936
Filename
80936
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