Analog CMOS implementation of cellular neural networks
Baktır, I. A.
Tan, M. A.
IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing
200 - 206
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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.
KeywordsCMOS integrated circuits
Electric network analysis
Analog CMOS implementation
Cellular neural networks