1996
DOI: 10.1006/rtim.1996.0024
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Time-Multiplexing Scheme for Cellular Neural Networks Based Image Processing

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Cited by 4 publications
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“…However, the communication links can take a large proportion of the integrated circuit area, that is why current implementations do not have a very large number of CNN cells in spite of the fact that the CNN cells can be efficiently implemented. A time-multiplexing architecture has been proposed to alleviate the problem of communicating the extemal input data with the array [5]. Nevertheless, under these conventional implementations full parallel access to the entire CNN array is not possible.…”
Section: Introductionmentioning
confidence: 99%
“…However, the communication links can take a large proportion of the integrated circuit area, that is why current implementations do not have a very large number of CNN cells in spite of the fact that the CNN cells can be efficiently implemented. A time-multiplexing architecture has been proposed to alleviate the problem of communicating the extemal input data with the array [5]. Nevertheless, under these conventional implementations full parallel access to the entire CNN array is not possible.…”
Section: Introductionmentioning
confidence: 99%