論文

査読有り
2014年1月

Parametric Wiener Filter with Linear Constraints for Unknown Target Signals

IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES
  • Akira Tanaka
  • ,
  • Hideyuki Imai

E97A
1
開始ページ
322
終了ページ
330
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1587/transfun.E97.A.322
出版者・発行元
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG

In signal restoration problems, we expect to improve the restoration performance with a priori information about unknown target signals. In this paper, the parametric Wiener filter with linear constraints for unknown target signals is discussed. Since the parametric Wiener filter is usually defined as the minimizer of the criterion not for the unknown target signal but for the,filter, it is difficult to impose constraints for the unknown target signal in the criterion. To overcome this difficulty, we introduce a criterion for the parametric Wiener filter defined for the unknown target signal whose minimizer is equivalent to the solution obtained by the original formulation. On the basis of the newly obtained criterion, we derive a closed-form solution for the parametric Wiener filter with linear constraints.

リンク情報
DOI
https://doi.org/10.1587/transfun.E97.A.322
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000330553400039&DestApp=WOS_CPL
ID情報
  • DOI : 10.1587/transfun.E97.A.322
  • ISSN : 0916-8508
  • eISSN : 1745-1337
  • Web of Science ID : WOS:000330553400039

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