Fast Parameter Selection Algorithm for Linear Parametric Filters(Digital Signal Processing)
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概要
- 論文の詳細を見る
A parametric linear filter for a linear observation model usually requires a parameter selection process so that the filter achieves a better filtering performance. Generally, criteria for the parameter selection need not only the filtered solution but also the filter itself with each candidate of the parameter. Obtaining the filter usually costs a large amount of calculations. Thus, an efficient algorithm for the parameter selection is required. In this paper, we propose a fast parameter selection algorithm for linear parametric filters that utilizes a joint diagonalization of two nonnegative definite Hermitian matrices.
- 社団法人電子情報通信学会の論文
- 2007-12-01
著者
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Miyakoshi Masaaki
Division Of Computer Science Graduate School Of Information Science And Technology Hokkaido Universi
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TANAKA Akira
Division of Medical Chemistry, National Institute of Hygienic Sciences
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Tanaka Akira
Division Of Biological Chemistry And Reference Standards National Institute Of Hygienic Sciences
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Tanaka Akira
Division Of Computer Science Graduate School Of Information Science And Technology Hokkaido University
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