DocumentCode :
1096947
Title :
On the minimal partial realization of 2D discrete linear shift-invariant systems
Author :
Sakata, Shiro
Author_Institution :
Dept. of Knowledge-Based Inf. Eng., Toyohashi Univ. of Technol.
Volume :
36
Issue :
8
fYear :
1991
fDate :
8/1/1991 12:00:00 AM
Firstpage :
984
Lastpage :
988
Abstract :
The partial realization problem for 2D discrete linear shift-invariant systems is discussed. The authors attempt to establish a reasonable definition of minimality and propose a method for finding the degree and the system function of a minimal realization of a 2D linear system characterized by a given 2D impulse response array. The method used is based on the 2D Berlekamp-Massey algorithm which has a close connection with the 2D Hankel matrix derived from the 2D array. While it compares in efficiency with other methods for identification and approximation of 2D linear systems, it gives a novel approach to the problem in the sense that one does not need any knowledge or assumptions concerning the system degree
Keywords :
discrete systems; identification; linear systems; matrix algebra; minimisation; 2D Hankel matrix; 2D discrete linear shift-invariant systems; 2D impulse response array; minimal partial realization; minimality; Knowledge engineering; Lattices; Linear approximation; Linear systems; Polynomials; Power engineering and energy;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/9.133194
Filename :
133194
Link To Document :
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