DocumentCode
3480993
Title
Analysis of adaptive filter algorithms in feedback systems
Author
Sakai, Hzdeaki ; Inoue, Shotaro
Author_Institution
Dept. of Syst. Sci., Kyoto Univ., Japan
Volume
6
fYear
2003
fDate
6-10 April 2003
Abstract
The paper presents some convergence results of an adaptive filter algorithm for a feedback-type active noise control (ANC) system with feedback path modeling using a dither signal and for feedback path modeling of hearing aids. In these systems, there is an adaptive filter in the feedback path so that the conventional method for analysis does not work. A frequency domain method is used for the analysis. It is based on the averaging method and the frequency domain expression of the adaptive algorithm with a causality constraint. The convergence conditions are derived for both problems and a bias expression of the weights for the latter problem is presented. The positive realness of the transfer function of the optimal predictor of the incoming signal is required for stability. Finally, the convergence condition and the bias are explicitly given for simple examples and their validities are shown by some simulations.
Keywords
active noise control; adaptive filters; causality; convergence of numerical methods; feedback; filtering theory; frequency-domain analysis; hearing aids; numerical stability; prediction theory; transfer functions; active noise control; adaptive filter algorithms; causality constraint; convergence condition; dither signal; feedback path modeling; feedback systems; frequency domain analysis; hearing aids; transfer function; Active noise reduction; Adaptive algorithm; Adaptive filters; Algorithm design and analysis; Control system synthesis; Convergence; Feedback; Frequency domain analysis; Hearing aids; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-7663-3
Type
conf
DOI
10.1109/ICASSP.2003.1201688
Filename
1201688
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