DocumentCode :
2516649
Title :
Circulant matrices and the stability theory of CNNs
Author :
Joy, Mark P. ; Tavsanoglu, Vedat
Author_Institution :
Centre for Res. in Inf. Eng., South Bank Univ., London, UK
fYear :
1994
fDate :
18-21 Dec 1994
Firstpage :
21
Lastpage :
26
Abstract :
In this paper we show that feedback matrices of ring CNNs are block circulants; as special cases, for example, feedback matrices of one-dimensional ring CNNs are circulant matrices. Circulants and their close relations the block circulants possess many pleasant properties which allow one to describe their spectrum completely. After deriving the spectrum of the feedback operator we present the main theorem of this paper which gives a parameter range for which convergence of the CNN dynamical system is assured
Keywords :
cellular neural nets; matrix algebra; stability; CNNs; block circulants; circulant matrices; convergence; feedback matrices; stability theory; Artificial intelligence; Asymptotic stability; Cellular neural networks; Circuits; Cloning; Convergence; Discrete Fourier transforms; Eigenvalues and eigenfunctions; Feedback; Tensile stress;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cellular Neural Networks and their Applications, 1994. CNNA-94., Proceedings of the Third IEEE International Workshop on
Conference_Location :
Rome
Print_ISBN :
0-7803-2070-0
Type :
conf
DOI :
10.1109/CNNA.1994.381685
Filename :
381685
Link To Document :
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