NAKAMORI Seiichi | Faculty of Education, Kagoshima University

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著作論文

Recursive Estimation Algorithm Based on Covariances for Uncertainly Observed Signals Correlated with Noise
Filtering in Generalized Signal-Dependent Noise Model Using Covariance Information
Least-Squares Linear Smoothers from Randomly Delayed Observations with Correlation in the Delay (Digital Signal Processing)
Fixed-Lag Smoothing Algorithm under Non-independent Uncertainty(Digital Signal Processing)
Fixed-Point, Fixed-Interval and Fixed-Lag Smoothing Algorithms from Uncertain Observations Based on Covariances(Digital Signal Processing)
Estimation Algorithm from Delayed Measurements with Correlation between Signal and Noise Using Covariance Information(Systems and Control)
Fixed-Interval Smoothing from Uncertain Observations with White Plus Coloured Noises Using Covariance Information(Digital Signal Processing)
Second-Order Polynomial Estimators from Non-independent Uncertain Observations Using Covariance Information
Recursive Estimation Technique of Signal from Output Measurement Data in Linear Discrete-Time Systems

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