Cumulant-Based Adaptive Deconvolution for Multichannel Tracking

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概要

• 論文の詳細を見る

• A cumulant-based lattice algorithm for multi channel adaptive filtering is proposed in this paper. Proposed algorithm takes into account the advantages of higer-order statistics, that is, improvement of estimation accuracy, blindness to colored Gaussian noise and the possibility to estimate the nonminimum-phase system etc. Without invoking the Instrumental Variable (IV) method as used in other papers, the algorithm is derived directly from the recursive pseudo-inverse matrix. The behavior of the algorithm is illustrated by numerical examples.

• 社団法人電子情報通信学会の論文
• 1996-03-25

著者

• Hama Hiromitsu

  Faculty Of Engineering Osaka City University

• Liu Zhongkan

  Department Of Applied Mathematics Beijing University Of Aeronautics And Astronautics

• ZHOU Mingyong

  Faculty of Engineering, Osaka City University

• Zhou Mingyong

  Faculty Of Engineering Osaka City University

関連論文

• Cumulant-Based Adaptive Deconvolution for Multichannel Tracking

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