Analog CMOS implementation of cellular neural networks
Date
1993Source Title
IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing
Print ISSN
1057-7130
Publisher
IEEE
Volume
40
Issue
3
Pages
200 - 206
Language
English
Type
ArticleItem Usage Stats
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Abstract
The analog CMOS circuit realization of cellular neural networks with transconductance elements is presented. This realization can be easily adapted to various types of applications in image processing just by choosing the appropriate transconductance parameters according to the predetermined coefficients. The effectiveness of the designed circuits for connected component detection is shown by HSPICE simulations. For “fixed function” cellular neural network circuits the number of transistors are reduced further by using multi-input transconductance elements.
Keywords
CMOS integrated circuitsElectric network analysis
Image processing
VLSI circuits
Analog CMOS implementation
Cellular neural networks
Transconductance elements
Neural networks