Title :
Recursive filtering algorithm for a two-dimensional system
Author :
Katayama, Tohru ; Kosaka, Michitaka
Author_Institution :
Kyoto University, Kyoto, Japan
fDate :
2/1/1979 12:00:00 AM
Abstract :
An approximate two-dimensional recursive filtering algorithm that parallels the one-dimensional Kalman filter is presented for a causal system considered by Habibi [1]. A numerical result is also shown.
Keywords :
Kalman filtering; Multidimensional signal processing; Recursive estimation; Controllability; Digital filters; Filtering algorithms; Kalman filters; Notice of Violation; Observability; Pattern recognition; Polynomials; Two dimensional displays; White noise;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1979.1101956
