Stability of 1-D-CNN's with Dirichlet boundary conditions and global propagation dynamics

DOI10.1109/81.852930zbMath0964.94005OpenAlexW2114996613MaRDI QIDQ2723605

Guido de Sandre

Publication date: 8 July 2001

Published in: IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/81.852930

zbMATH Keywords

stabilityDirichlet boundary conditionscomplete stabilityconnected component detectorglobal propagation dynamicsmonodimensional cellular neural networks

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Qualitative investigation and simulation of ordinary differential equation models (34C60) Stability theory for ordinary differential equations (34D99)

Related Items (4)

Band-restricted diagonally dominant matrices: computational complexity and application ⋮ Sufficient conditions for one-dimensional cellular neural networks to perform connected component detection ⋮ Analysis of Complete Stability for Discrete-Time Cellular Neural Networks with Piecewise Linear Output Functions ⋮ Complex dynamics in one‐dimensional CNNs

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