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      • Theses - Department of Electrical and Electronics Engineering
      • Dept. of Electrical and Electronics Engineering - Master's degree
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      •   BUIR Home
      • University Library
      • Bilkent Theses
      • Theses - Department of Electrical and Electronics Engineering
      • Dept. of Electrical and Electronics Engineering - Master's degree
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      Analog CMOS implementation of cellular neural networks

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      Author
      Baktır, İzzet Adil
      Advisor
      Tan, Mehmet Ali
      Date
      1991
      Publisher
      Bilkent University
      Language
      English
      Type
      Thesis
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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.
      Keywords
      Cellular Neural Networks
      Analog VLSI
      CMOS
      Transconductance
      Permalink
      http://hdl.handle.net/11693/17362
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      • Dept. of Electrical and Electronics Engineering - Master's degree 597
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