Analog CMOS implementation of cellular neural networks
Author
Baktır, İzzet Adil
Advisor
Tan, Mehmet Ali
Date
1991Publisher
Bilkent University
Language
English
Type
ThesisItem Usage Stats
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Abstract
An analog CMOS circuit realization of cellular neural networks with transconductance
elements is presented in this thesis. This realization can be easily
adapted to various types of applications in image processing by just choosing
the appropriate transconductance parameters according to the predetermined
coefficients. The noise-reduction and edge detection examples have shown
the effectiveness of the designed networks in real time image processing applications.
For “fix function” cellular neural network circuits the number of
transistors are reduced further by a new multi-input voltage-controlled current
source.