模拟VLSI神经网络的实时图像处理在工业应用

Proceedings Seventh Annual IEEE International ASIC Conference and Exhibit Pub Date : 1994-09-19 DOI:10.1109/ASIC.1994.404614

M. Valle, M. Onorato, F. Oddone, D. Caviglia, G. Bisio

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引用次数: 4

摘要

本文提出了一种模拟VLSI架构，该架构实现了用于工业环境中图像处理的神经网络。模拟体系结构是高度模块化和实时操作。电路的实现基于简单有效的电路原语。特别注意对线性和计算精度的分析。设计并实现了实现该体系结构滤波阶段的测试芯片。

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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An analog VLSI neural network for real-time image processing in industrial applications

In this paper we present an analog VLSI architecture that implements a neural network for image processing in industrial environment. The analog architecture is highly modular and operates in real time. The circuit implementation is based on simple and effective circuit primitives. Special care has been devoted to the analysis of the linearity and the precision of computation. A test chip, implementing the filtering stage of the architecture, has been designed and realized.<>

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Proceedings Seventh Annual IEEE International ASIC Conference and Exhibit

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