DocumentCode
2607731
Title
An improved model for the second moment of the Filtered-X LMS algorithm
Author
Tobias, Orlando J. ; Bermudez, Jose C. M. ; Seara, Rui ; Bershad, Neil J.
Author_Institution
Dept. of Electr. Eng., Fed. Univ. of Santa Catarina, Florianopolis, Brazil
fYear
2000
fDate
2000
Firstpage
337
Lastpage
341
Abstract
This paper presents an improved analytical model for the second moment behavior of the Filtered-X LMS algorithm. The new model is mathematically more compact and efficient than the one presented previously (Tobias et al., 1999). Also, as its predecessor, it is not based on the independence theory and is derived for Gaussian inputs. Monte Carlo simulations show excellent agreement with the behavior predicted by the theoretical model
Keywords
FIR filters; Gaussian processes; Monte Carlo methods; adaptive filters; least mean squares methods; Filtered-X LMS algorithm; Gaussian inputs; Monte Carlo simulations; analytical model; model; second moment; theoretical model; Adaptive filters; Algorithm design and analysis; Analytical models; Electronic mail; Equations; Filtering; Finite impulse response filter; Least squares approximation; Predictive models; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Adaptive Systems for Signal Processing, Communications, and Control Symposium 2000. AS-SPCC. The IEEE 2000
Conference_Location
Lake Louise, Alta.
Print_ISBN
0-7803-5800-7
Type
conf
DOI
10.1109/ASSPCC.2000.882496
Filename
882496
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