β Scribed by Matsumoto, T.; Chua, L.O.; Furukawa, R.
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
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.
The robustness of the templates used in the normal unity gain operation is discussed. Some methods to improve a possibly poor template are given. Moreover, the positive range type of the cell output non-linearity and the robustness of the templates in that particular case are examined. Also methods
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,