DocumentCode :
3405039
Title :
Hybrid design of filtered-x adaptive algorithm via sampled-data control theory
Author :
Nagahara, Masaaki ; Yamamoto, Yutaka
Author_Institution :
Grad. Sch. of Inf., Kyoto Univ., Kyoto
fYear :
2008
fDate :
March 31 2008-April 4 2008
Firstpage :
353
Lastpage :
356
Abstract :
Analysis and design of filtered-x adaptive algorithms are conventionally done by assuming that the transfer function in the secondary path is a discrete-time system. However, in real systems such as active noise control, the secondary path is a continuous-time system. Therefore, such a system should be analysed and designed as a hybrid system including discrete- and continuous- time systems and AD/DA devices. In this article, we propose a hybrid design taking account of continuous- time behaviour of the secondary path via lifting (continuous- time polyphase decomposition) technique in sampled-data control theory.
Keywords :
active noise control; adaptive filters; continuous time systems; control system analysis; control system synthesis; digital filters; discrete time systems; sampled data systems; transfer functions; active noise control system; adaptive digital filter; analog-to-digital device; continuous-time polyphase decomposition technique; continuous-time system; digital signal processing; digital-to-analog device; discrete-time system; filtered-x adaptive algorithm; hybrid system analysis; hybrid system design; sampled-data control theory; transfer function; Acoustic noise; Active noise reduction; Adaptive algorithm; Adaptive filters; Algorithm design and analysis; Control systems; Control theory; Digital signal processing; Filtering theory; Signal processing algorithms; Active Noise Control; Adaptive filters; Functional analysis; Least mean square methods; Sampled data systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
ISSN :
1520-6149
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2008.4517619
Filename :
4517619
Link To Document :
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