Title :
A discrete state-space model for linear image processing
Author :
Roesser, Robert P.
Author_Institution :
Wayne State University, Detroit, Michigan, USA
fDate :
2/1/1975 12:00:00 AM
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;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1975.1100844
