CNN通用机的快速、复杂、高效的测试实现

Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94) Pub Date : 1994-12-18 DOI:10.1109/CNNA.1994.381706

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

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引用次数: 79

摘要

本文报道了一种快速、复杂、高效的细胞神经网络通用机集成电路芯片。该芯片具有连续时间模拟动力学，设计为每秒处理50万帧图像

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A fast, complex and efficient test implementation of the CNN Universal Machine

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.<>

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Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94)

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