2026-04-29T12:24:18Zhttps://repisalud.isciii.es/rest/oai/request

oai:repisalud.isciii.es:20.500.12105/235272024-11-28T19:44:44Zcom_20.500.12105_15322com_20.500.12105_2051col_20.500.12105_16967

00925njm 22002777a 4500 dc Camps, Oscar author Al Chawa, Mohamad Moner author Stavrinides, Stavros G author Picos, Rodrigo author 2022-01 Cellular Nonlinear Networks (CNN) are a concept introduced in 1988 by Leon Chua and Lin Yang as a bio-inspired architecture capable of massively parallel computation. Since then, CNN have been enhanced by incorporating designs that incorporate memristors to profit from their processing and memory capabilities. In addition, Stochastic Computing (SC) can be used to optimize the quantity of required processing elements; thus it provides a lightweight approximate computing framework, quite accurate and effective, however. In this work, we propose utilization of SC in designing and implementing a memristor-based CNN. As a proof of the proposed concept, an example of application is presented. This application combines Matlab and a FPGA in order to create the CNN. The implemented CNN was then used to perform three different real-time applications on a 512 x 512 gray-scale and a 768 x 512 color image: storage of the image, edge detection, and image sharpening. It has to be pointed out that the same CNN was used for the three different tasks, with the sole change of some programmable parameters. Results show an excellent capability with significant accompanying advantages, such as the low number of needed elements further allowing for a low cost FPGA-based system implementation, something confirming the system's capacity for real time operation. Camps O, Al Chawa MM, Stavrinides SG, Picos R. Stochastic Computing Emulation of Memristor Cellular Nonlinear Networks. Micromachines. 2022 Jan;13(1):67. 10.3390/mi13010067 2072-666X Micromachines https://hdl.handle.net/20.500.13003/19831 35056232 2-s2.0-85122163385 https://hdl.handle.net/20.500.12105/23527 747114900001 Cellular nonlinear networks Stochastic logic Real time processing Image processing Memristors Stochastic Computing Emulation of Memristor Cellular Nonlinear Networks