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      • Department of Electrical and Electronics Engineering
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      Analog CMOS implementation of cellular neural networks

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      Author(s)
      Baktır, I. A.
      Tan, M. A.
      Date
      1993
      Source 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
      Article
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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 circuits
      Electric network analysis
      Image processing
      VLSI circuits
      Analog CMOS implementation
      Cellular neural networks
      Transconductance elements
      Neural networks
      Permalink
      http://hdl.handle.net/11693/26062
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/82.222819
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      • Department of Electrical and Electronics Engineering 4011
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