2020-03-122020-03-121992Espejo 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.0-7803-0593-00271-4310https://hdl.handle.net/11441/94146An 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.application/pdf4 p.engAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Switched-current techniques for image processing Cellular Neural Networks in MOS VLSIinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccess10.1109/ISCAS.1992.23020620392207