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文章基本信息

  • 标题:Diagonal Kernel Point Estimation of nth-Order Discrete Volterra-Wiener Systems
  • 本地全文:下载
  • 作者:Massimiliano Pirani ; Simone Orcioni ; Claudio Turchetti
  • 期刊名称:EURASIP Journal on Advances in Signal Processing
  • 印刷版ISSN:1687-6172
  • 电子版ISSN:1687-6180
  • 出版年度:2004
  • 卷号:2004
  • 期号:12
  • 页码:1807-1816
  • DOI:10.1155/S1110865704403011
  • 出版社:Hindawi Publishing Corporation
  • 摘要:

    The estimation of diagonal elements of a Wiener model kernel is a well-known problem. The new operators and notations proposed here aim at the implementation of efficient and accurate nonparametric algorithms for the identification of diagonal points. The formulas presented here allow a direct implementation of Wiener kernel identification up to the n th order. Their efficiency is demonstrated by simulations conducted on discrete Volterra systems up to fifth order.

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