Genetic algorithm approach to fixed-order mixed \(H_2/H_\infty\) optimal deconvolution filter designs (Q2734435)
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scientific article; zbMATH DE number 1634038
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Genetic algorithm approach to fixed-order mixed \(H_2/H_\infty\) optimal deconvolution filter designs |
scientific article; zbMATH DE number 1634038 |
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4 May 2003
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deconvolution
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genetic algorithm
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mixed \( H_2 / H_{\infty} \) filter
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stability
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0.8949554
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0.8788676
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0.87342656
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0.87181205
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0.8713152
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0.8640766
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0.8603208
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Genetic algorithm approach to fixed-order mixed \(H_2/H_\infty\) optimal deconvolution filter designs (English)
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The design procedure of a fixed-order mixed \( H_2 / H_{\infty} \) deconvolution filter is divided into two steps. In the first step, based on Jury's stability criterion, the stability domain of the coefficients of the denominator in a fixed-order deconvolution filter is specified. In the second step, the mixed \( H_2 / H_{\infty} \) optimal solution in the stability domain of the coefficients (parameter space) will be searched via the genetic algorithm. The simulation results indicate that the genetic-based design algorithms converge exponentially and the reconstruction performance is acceptable even if the order of the deconvolution filter is lower. The proposed design methods are suitable for lower-order optimal deconvolution filter design with the simplicity of implementation as well as saving of operation time and are useful for practical application in signal reconstruction problems with a high order channel and signal model.
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