Neural processing of multisensor signals at the 8-bit microcontroller

O. Roshchupkin, A. Sachenko, V. Kochan
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引用次数: 1

Abstract

An approach of multisensor signals processing at microcontrollers is described in this paper. This approach is based on the identification neural method of conversion individual function for a multisensor. It allows reducing an amount of calibration points and improving an accuracy of identification in a comparison with existing methods. Proposed approach was implemented in the developed system for measurement of the ultraviolet radiation level using 8-bit microcontrollers.
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多传感器信号在8位微控制器上的神经处理
本文介绍了一种在微控制器上处理多传感器信号的方法。该方法基于多传感器个体函数转换的识别神经方法。与现有方法相比,它可以减少校准点的数量并提高识别的准确性。该方法已在已开发的紫外辐射水平8位微控制器测量系统中实现。
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