Fast and Compact 16 by 16 Cellular Neural Network Implementation |
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| Authors: | Ari Paasio Adam Dawidziuk Kari Halonen Veikko Porra |
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| Affiliation: | (1) Electronic Circuit Design Laboratory, Helsinki University of Technology, Otakaari 5 A, 02150 Espoo, Finland;(2) Warsaw University of Technology, Finland |
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| Abstract: | The paper presents a Cellular Neural Network implementation based on a high gain sigmoid operation. The required simplifications to the original theory are described that allow the use of high gain. With this design black and white images can be processed. The basic building blocks in a cell are described. A 16×16 cells network has been designed and processed with 1.2 micron CMOS technology. Measurement results which show the operation of the network are presented. |
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| Keywords: | cellular neural network implementation bipolar image processing |
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