• DocumentCode
    1303421
  • Title

    Super-exponential algorithms for multichannel blind deconvolution

  • Author

    Inouye, Yujiro ; Tanebe, Kazuaki

  • Author_Institution
    Dept. of Electron. & Control Syst. Eng., Shimane Univ., Matsue, Japan
  • Volume
    48
  • Issue
    3
  • fYear
    2000
  • fDate
    3/1/2000 12:00:00 AM
  • Firstpage
    881
  • Lastpage
    888
  • Abstract
    Multichannel blind deconvolution has been receiving increasing attention. Shalvi and Weinstein proposed an attractive approach to single-channel blind deconvolution called the super-exponential methods. The objective of this correspondence is to extend the Shalvi and Weinstein (1993, 1994) approach to the multichannel case and present super-exponential algorithms for multichannel blind deconvolution. We propose three approaches to multichannel blind deconvolution. In the first one, we present a multichannel super-exponential algorithm. In the second one, we present a super-exponential deflation algorithm. In the third one, we present a two-stage super-exponential algorithm
  • Keywords
    blind equalisers; deconvolution; iterative methods; Shalvi and Weinstein approach; multichannel blind deconvolution; multichannel super-exponential algorithm; super-exponential deflation algorithm; two-stage super-exponential algorithm; Array signal processing; Convergence; Deconvolution; Digital communication; Image enhancement; Iterative algorithms; Signal processing algorithms; Speech enhancement; Speech processing; Wideband;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.824685
  • Filename
    824685