• 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