DocumentCode :
701131
Title :
Analysis of an LMS adaptive feedforward controller for periodic disturbance rejection: Non-wiener solutions for the LMS algorithm with a noisy reference-revisited
Author :
Bershad, Neil J. ; Bermudez, Jose Carlos M.
Author_Institution :
Department of Electrical and Computer Engineering, University of California, Irvine, CA, 92717, U.S.A.
fYear :
1996
fDate :
10-13 Sept. 1996
Firstpage :
1
Lastpage :
4
Abstract :
LMS adaptive cancellation has been found to be effective in various applications of active noise control of periodic disturbances. A deterministic periodic waveform can be used for the reference when the period of the disturbance is known a priori. However, the algorithm behavior is determined by so-called Non-Wiener solutions. This paper presents a new vector subspace model for simplifying the analysis of the Non-Wiener behavior. The LMS weights are modelled as a deterministic time-varying mean plus a zero-mean fluctuating part. Each weight component is analyzed separately with the subspace model.
Keywords :
Adaptive filters; Correlation; Feedforward neural networks; Least squares approximations; Noise measurement; White noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
European Signal Processing Conference, 1996. EUSIPCO 1996. 8th
Conference_Location :
Trieste, Italy
Print_ISBN :
978-888-6179-83-6
Type :
conf
Filename :
7082856
Link To Document :
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