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
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