The Journal of the Acoustical Society of Korea

한국음향학회 (The Acoustical Society of Korea)
권호 표지

A Recursive Data Least Square Algorithm and Its Channel Equalization Application

  • Lim, Jun-Seok (Department of Electroncis Engineering Sejong University) ;
  • Kim, Jae-Soo (Department of Ocean Engineering Korea Maritime University)
  • 발행 : 2006.06.01
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초록

Abstract-Using the recursive generalized eigendecomposition method, we develop a recursive form solution to the data least squares (DLS) problem, in which the error is assumed to lie in the data matrix only. Simulations demonstrate that DLS outperforms ordinary least square for certain types of deconvolution problems.

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참고문헌

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