Cellular neural networks and visual computing foundation and applications
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| Main Author | |
|---|---|
| Other Authors | |
| Format | eBook |
| Language | English |
| Published |
Cambridge, UK ; New York, NY :
Cambridge University Press,
2002.
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| Subjects | |
| Online Access | Full text |
| ISBN | 9781601197351 9780511040511 9780511754494 9780521652476 |
| Physical Description | 1 online zdroj (xi, 396 p.) : ill. |
Cover
Table of Contents:
- 1. Introduction
- 2. Notation, definitions, and mathematical foundation
- 3. Characteristics and analysis of simple CNN templates
- 4. Simulation of the CNN dynamics
- 5. Binary CNN characterization via Boolean functions
- 6. Uncoupled CNNs: unified theory and applications
- 7. Introduction to the CNN Universal Machine
- 8. Back to basics: Nonlinear dynamics and complete stability
- 9. The CNN Universal Machine (CNN-UM)
- 10. Template design tools
- 11. CNNs for linear image processing
- 12. Coupled CNN with linear synaptic weights
- 13. Uncoupled standard CNNs with nonlinear synaptic weights
- 14. Standard CNNs with delayed synaptic weights and motion analysis