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Updated: Jul 18, 2025

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在结构健康监测的背景下,用于光学图案的特征提取的Shannon Entropy

Wendy Garcia-González1, Wendy Flores-Fuentes1, Oleg Sergiyenko2

  • 1Engineering Faculty, Universidad Autónoma de Baja California, Mexicali 21280, BC, Mexico.

Entropy (Basel, Switzerland)
|August 26, 2023
PubMed
概括

本研究介绍了一种使用Shannon Entropy用于技术视觉系统中特征提取的新型信号处理方法. 这种方法通过增强噪音环境中的光电子信号分类来显著提高结构健康监测的准确性.

关键词:
数据增强数据增强进入的过程中,机器学习是机器学习.这些光学图案是光学图案.随机过程是一个随机的过程.处理传感器数据的数据处理.技术视觉系统 技术视觉系统

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IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
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