Fast, complex and efficient test implementation of the CNN Universal Machine

J. M. Cruz, L. O. Chua, T. Roska

Research output: Contribution to conferencePaper

42 Citations (Scopus)

Abstract

In this paper we report on a fast, complex and efficient implementation of the Cellular Neural Network Universal Machine as an IC chip. The chip has continuous time analog dynamics, and has been designed to process 500,000 image frames per second.

Original languageEnglish
Pages61-66
Number of pages6
Publication statusPublished - Dec 1 1994
EventProceedings of the 3rd IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94) - Rome, Italy
Duration: Dec 18 1994Dec 21 1994

Other

OtherProceedings of the 3rd IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94)
CityRome, Italy
Period12/18/9412/21/94

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ASJC Scopus subject areas

  • Software

Cite this

Cruz, J. M., Chua, L. O., & Roska, T. (1994). Fast, complex and efficient test implementation of the CNN Universal Machine. 61-66. Paper presented at Proceedings of the 3rd IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94), Rome, Italy, .