In this paper a method for the evaluation of static robustness towards random variations in cellular neural network (CNN) templates is proposed. From this evaluation, circuit accuracy specifications for a VLSI implementation are derived which allow the designer to optimize the performance. Moreover,
The art of CNN template design
✍ Scribed by Zarándy, Ákos
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 237 KB
- Volume
- 27
- Category
- Article
- ISSN
- 0098-9886
No coin nor oath required. For personal study only.
✦ Synopsis
A practical survey of the design rules of uncoupled and coupled linear CNN templates with binary inputs and outputs is given. The usage and the properties of the different classes of CNN templates are analysed. CNN chip specific robustness considerations are also given.
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