A new digital VLSI architecture has been presented for the implementation of discrete-time multilayer CNNs. At functional level, the architecture is organized as 12 layers of 64 x 64 cells which interact as specified by a set of 3D generalized templates. At structural level the application of clonin
A VLSI-oriented continuous-time CNN model
✍ Scribed by Espejo, S.; Carmona, R.; Domínguez-Castro, R.; Rodríguez-Vázquez, A.
- Publisher
- John Wiley and Sons
- Year
- 1996
- Tongue
- English
- Weight
- 936 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0098-9886
No coin nor oath required. For personal study only.
✦ Synopsis
This paper presents an analysis of the stability and convergence properties of the full signal range (FSR) CNN model. These properties are demonstrated to be similar to those of the Chua-Yang model and the 1/0 mapping of known applications is shown to be unaffected by the modification introduced in this new model. In this modified CNN model the dynamic range of the cell state variables equals the dynamic range of the cell output variables and is invariant with the application. This feature results in simpler circuit implementations, thus allowing higher cell densities and improving the robustness of CNN integrated circuits. The FSR CNN model is particularly well suited for programmable CNN integrated circuits.
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