On the design of discrete-time cellular neural networks with circulant matrices

International Journal of Circuit Theory and Applications

Volumn 28, Issue 2, 2000, Pages 193-202

  Grassi, Giuseppe ^a  

^a UNIVERSITY OF SALENTO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ASYMPTOTIC STABILITY; DESIGN; DIFFERENCE EQUATIONS; FOURIER TRANSFORMS; INFORMATION RETRIEVAL; MATRIX ALGEBRA; THEOREM PROVING; TWO DIMENSIONAL;

CIRCULANT MATRICES; DISCRETE TIME CELLULAR NEURAL NETWORKS;

CELLULAR NEURAL NETWORKS;

EID: 0034148664     PISSN: 00989886     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1097-007X(200003/04)28:2<193::AID-CTA98>3.0.CO;2-C     Document Type: Letter

References (10)

1. Cellular neural networks: Theory
2. Discrete-time cellular neural networks for associative memories with learning and forgetting capabilities
3. On object-oriented video coding using the CNN universal machine
4. Sparsely interconnected neural networks for associative memories with applications to cellular neural networks
5. Qualitative limitations incurred in implementations of recurrent neural networks
6. A global approach to the design of discrete-time cellular neural networks for associative memories
7. Stability analysis of generalized cellular neural networks
8. Frequency domain stability criteria for cellular neural networks
9. Circulant matrices and the stability of a class of CNNs
10. Analysis and synthesis of a class of discrete-time neural networks with multilevel threshold neurons