• DocumentCode
    306601
  • Title

    Criteria for blind deconvolution of multichannel linear time-invariant systems

  • Author

    Inouye, Yujiro

  • Author_Institution
    Dept. of Syst. Eng., Osaka Univ., Japan
  • Volume
    2
  • fYear
    1996
  • fDate
    11-13 Dec 1996
  • Firstpage
    1521
  • Abstract
    Shalvi and Weinstein (1990) proposed certain criteria for blind deconvolution of nonminimum-phase linear time-invariant systems. Their work is, however, restricted to the single-channel (or scalar) case. This paper extends the Shalvi-Weinstein approach to the multichannel case. We propose a multistage maximization criterion and a single-stage maximization criterion for attaining multichannel blind deconvolution. Under a normalized condition, they are shown to be equivalent. We derive also a necessary and sufficient condition for multichannel blind deconvolution. A simulation example is included to demonstrate the effectiveness of the proposed criteria
  • Keywords
    deconvolution; optimisation; blind deconvolution; multichannel linear time-invariant systems; multistage maximization criterion; necessary and sufficient condition; nonminimum-phase linear time-invariant systems; single-stage maximization criterion; Blind equalizers; Blind source separation; Data processing; Deconvolution; Ear; Linear systems; Modeling; Systems engineering and theory; Transfer functions; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
  • Conference_Location
    Kobe
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-3590-2
  • Type

    conf

  • DOI
    10.1109/CDC.1996.572738
  • Filename
    572738