Reduced-Order Estimation Technique Using Covariance Data of Observed Value in Linear Discrete-Time Systems-Reference-Cited by-同舟云学术

Reduced-Order Estimation Technique Using Covariance Data of Observed Value in Linear Discrete-Time Systems

Published:1997-01 Issue:1 Volume:7 Page:55-62
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

Nakamori Seiichi

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference7 articles.

1. A new approach to linear filtering and prediction problems;Kalman;Trans. ASME. J. Basic Eng. D,1960

2. Lectures on Linear Least-Squares Estimation;Kailath,1976

3. A new prediction algorithm using covariance information in linear continuous systems;Nakamori;Automatica,1991

4. Recursive estimation technique of signal from output measurement data in linear discrete-time systems;Nakamori;IEICE Trans. Fund. A,1995

5. Adaptive Filter Theory;Haykin,1986

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