DocumentCode
698622
Title
Stochastic modelling of the transform domain LMS algorithm for a time-varying environment
Author
Lobato, Elen M. ; Tobias, Orlando J. ; Seara, Rui
Author_Institution
Dept. of Electr. Eng., Fed. Univ. of Santa Catarina, Florianópolis, Brazil
fYear
2005
fDate
4-8 Sept. 2005
Firstpage
1
Lastpage
4
Abstract
This paper presents a stochastic model of the transform domain εLMS (εTDLMS) algorithm for a nonstationary environment. The proposed model is derived for Gaussian inputs, high-order adaptive filter and slow adaptation condition. Through simulations, we can verify a very good agreement between the results obtained by the Monte Carlo method and the predictions from the proposed analytical model.
Keywords
Monte Carlo methods; adaptive filters; least mean squares methods; transforms; εTDLMS; Gaussian inputs; Monte Carlo method; high-order adaptive filter; slow adaptation condition; stochastic modelling; time-varying environment; transform domain εLMS algorithm; Adaptation models; Adaptive filters; Least squares approximations; Optimized production technology; Signal processing algorithms; Transforms; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2005 13th European
Conference_Location
Antalya
Print_ISBN
978-160-4238-21-1
Type
conf
Filename
7078214
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