Hybrid design of filtered-x adaptive algorithm via sampled-data control theory

被引:1
作者
Nagahara, Masaaki [1 ]
Yamamoto, Yutaka [1 ]
机构
[1] Kyoto Univ, Grad Sch Informat, Kyoto 6068501, Japan
来源
2008 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-12 | 2008年
关键词
active noise control; adaptive filters; least mean square methods; sampled data systems; functional analysis;
D O I
10.1109/ICASSP.2008.4517619
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
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.
引用
收藏
页码:353 / 356
页数:4
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