Presentation
Switched-current techniques for image processing Cellular Neural Networks in MOS VLSI
Author/s | Espejo Meana, Servando Carlos
![]() ![]() ![]() ![]() ![]() ![]() Rodríguez Vázquez, Ángel Benito ![]() ![]() ![]() ![]() ![]() ![]() ![]() Domínguez Castro, Rafael Huertas Díaz, José Luis |
Department | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Publication Date | 1992 |
Deposit Date | 2020-03-12 |
Published in |
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ISBN/ISSN | 0-7803-0593-0 0271-4310 |
Abstract | An architecture and related building blocks are presented for the realization of image processing tasks using current-mode analog-digital circuits. The architecture is based on the Cellular Neural Network paradigm while ... An architecture and related building blocks are presented for the realization of image processing tasks using current-mode analog-digital circuits. The architecture is based on the Cellular Neural Network paradigm while implementation is made using switched-current circuit techniques. Since just MOS transistors are required as circuit primitives, the proposed circuits are well suited for standard digital CMOS technologies. Also, the sampled-data nature of switched-current techniques allows for easy incorporation of programmability and reconfigurability issues. Empirical results are given for 1.5μm N-well double-metal CMOS prototypes. |
Citation | Espejo Meana, S.C., Rodríguez Vázquez, Á.B., Domínguez Castro, R. y Huertas Díaz, J.L. (1992). Switched-current techniques for image processing Cellular Neural Networks in MOS VLSI. En IEEE International Symposium on Circuits and Systems (1537-1540), San Diego, USA: Institute of Electrical and Electronics Engineers. |
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