Bayesian Formulation of Nonlinear Filters and Their Electronic Implementation
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概要
- 論文の詳細を見る
Fundamental nonlinear filters including M-filters and order statistic filters are formulated generally by the maximum a-posteriori (MAP) estimation and some filters are derived with the aid of the Bayes formula. This MAP-filters reduces to M-filters if a-priori probability distribution is uniform, while the rank filters are derived when a-priori bias exists in the MAP estimation. This MAP-filters are implemented with an analog electronic circuit and the log-likelihood is shown to be a Liapunov function for the dynamics of this circuit.
- 社団法人電子情報通信学会の論文
- 1998-02-25
著者
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URAHAMA Kiichi
the Faculty of Visual Communication Design, Kyushu Institute of Design
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Yoshimoto S
The Faculty Of Visual Communication Design Kyushu Institute Of Design
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Urahama Kiichi
The Faculty Of Visual Communication Design Kyushu Institute Of Design
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YOSHIMOTO Sadanobu
the Faculty of Visual Communication Design, Kyushu Institute of Design
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URAHAMA Kiichi
the Faculty of Design, Kyushu University
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