학술논문

Image filtering in a CMOS analog CNN
Document Type
Conference
Source
2015 IEEE 6th Latin American Symposium on Circuits & Systems (LASCAS) Circuits & Systems (LASCAS), 2015 IEEE 6th Latin American Symposium on. :1-4 Feb, 2015
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Photonics and Electrooptics
Signal Processing and Analysis
CMOS analog CNN
frequency-domain image filtering
CNN learning algorithm
Language
Abstract
A compact low-power CMOS analog circuit implementation of a Cellular Neural Network which uses continuously programmable weight values has been presented recently. Now the operation of this full signal range CNN in image filtering is verified through simulation. A learning tool comprising a friendly graphical interface and the center of mass learning algorithm has been developed, which made it possible to determine optimal coefficients for CNN application in image filtering. Circuit simulations of low-pass and high-pass filters have been accomplished with satisfactory results.