Presentation
Realization of a CNN universal chip in CMOS technology
Author/s | Espejo Meana, Servando Carlos
Domínguez Castro, Rafael Rodríguez Vázquez, Ángel Benito |
Department | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Publication Date | 1995 |
Deposit Date | 2020-03-09 |
Published in |
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ISBN/ISSN | 0-7803-2570-2 0271-4310 |
Abstract | This paper describes the design of a programmable Cellular Neural Network (CNN) chip, with additional functionalities similar to those of the CNN Universal Chip. The prototype, which contains 1024 cells, has been designed ... This paper describes the design of a programmable Cellular Neural Network (CNN) chip, with additional functionalities similar to those of the CNN Universal Chip. The prototype, which contains 1024 cells, has been designed in a 1.0μm, n-well CMOS technology. A careful selection of the topology and design parameters has resulted in a cell density of 31 cells/mm2 and an accuracy in the weight values in the range of 7-8 bits. Adaptive techniques have been employed to ensure accurate external control and systems robustness against process-parameter variations. |
Citation | Espejo Meana, S.C., Domínguez Castro, R. y Rodríguez Vázquez, Á.B. (1995). Realization of a CNN universal chip in CMOS technology. En IEEE International Symposium on Circuits and Systems (657-659), Seattle, USA: Institute of Electrical and Electronics Engineers. |
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