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Referens:
  • S. Malki, L. Spaanenburg:
    A DT-CNN Data-Flow Implementation
    2008 11TH INTERNATIONAL WORKSHOP ON CELLULAR NEURAL NETWORKS AND THEIR APPLICATIONS, 11th International Workshop on Cellular Neural Networks and Their Applications, Santiago de Compostela, SPAIN, pp. 17-22, JUL 14-16, 2008.
    • (BibTeX)
Title:
A DT-CNN Data-Flow Implementation
2008 11TH INTERNATIONAL WORKSHOP ON CELLULAR NEURAL NETWORKS AND THEIR APPLICATIONS
Type:
conference paper
Abstract:
Digital implementations of Cellular Neural Networks are studied in terms of their communication requirements. Secure and reliable communication seems to imply close control, which degrades performance. We introduce a mechanism that removes the need for explicit local network control, taking the internal network communication out of the performance equation. This allows handling boundary conditions without introducing additional cells and facilitates multi-level implementations. A typical feature extraction task in hand vein recognition shows a 20x performance improvement for the Cellular Neural Network implementation.
Year:
2008
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