Recursive Estimation Algorithm Based on Covariances for Uncertainly Observed Signals Correlated with Noise
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概要
- 論文の詳細を見る
- 2008-07-01
著者
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Linares-perez Josefa
The Department Of Statistics Granada University
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Linares-perez Josefa
Department Of Statistics Granada University
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Jimenez-lopez Jose
Department Of Statistics Jaen University
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NAKAMORI Seiichi
Faculty of Education, Kagoshima University
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CABALLERO-AGUILA Raquel
Department of Statistics, Jaen University
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HERMOSO-CARAZO Aurora
Department of Statistics, Granada University
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Nakamori Seiichi
Faculty Of Education Kagoshima University
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Hermoso-carazo Aurora
Department Of Statistics Granada University
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Hermoso-carazo Aurora
Departamento De Estad'istica E Investigaci'on Operativa Facultades De Ciencias Universidad
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Caballero-aguila Raquel
Department Of Statistics Jaen University
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Nakamori S
The Faculty Of Education Kagoshima University
関連論文
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- Recursive Estimation Technique of Signal from Output Measurement Data in Linear Discrete-Time Systems
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- Chandrasekhar-Type Recursive Wiener Filter Using Covariance Information in Linear Discrete-Time Wide-Sense Stationary Stochastic Systems
- Estimation Technique Using Covariance Data in Linear Continuous Stochastic Systems
- Optimal Filtering Algorithm Using Covariance Information In Linear Continuous Distributed Parameter Systems
- Design of Linear Discrete-Time Stochastic Estimators Using Covariance Information in Krein Spaces
- Design of Recursive Wiener Smoother Given Covariance Information
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