✦ LIBER ✦

EVALUATION OF CNN TEMPLATE ROBUSTNESS TOWARDS VLSI IMPLEMENTATION

✍ Scribed by KINGET, PETER; STEYAERT, MICHIEL

Publisher: John Wiley and Sons
Year: 1996
Tongue: English
Weight: 591 KB
Volume: 24
Category: Article
ISSN: 0098-9886
DOI: 10.1002/(sici)1097-007x(199601/02)24:1<111::aid-cta907>3.0.co;2-x

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✦ Synopsis

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, from this evaluation method, guidelines for robust template designs are derived and parametric testing templates are developed.

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