DocumentCode
817522
Title
A discrete state-space model for linear image processing
Author
Roesser, Robert P.
Author_Institution
Wayne State University, Detroit, Michigan, USA
Volume
20
Issue
1
fYear
1975
fDate
2/1/1975 12:00:00 AM
Firstpage
1
Lastpage
10
Abstract
The linear time-discrete state-space model is generalized from single-dimensional time to two-dimensional space. The generalization includes extending certain basic known concepts from one to two dimensions. These concepts include the general response formula, state-transition matrix, Cayley-Hamilton theorem, observability, and controllability.
Keywords
Distributed systems, linear; Image processing; Linear systems, time-invariant discrete-time; Convolution; Difference equations; Image processing; Linear systems; Observability; Optical devices; Optical filters; Optical noise; Power system modeling; Transfer functions;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.1975.1100844
Filename
1100844
Link To Document