Earticle

초록

영어

According to existing methods of singularity detection in stress wave signal, raise and define the quantitative information entropy and the mean vector model of Information entropy, the definitions are based on probability theory and mathematical statistical theory and information entropy, Define the method of singularity detection based on the quantitative information entropy. This method is tested and simulated using stress wave of pile detection and compared with the modulus maxima method. The experimental results show that the quantitative information entropy method has advantages in anti-noise performance and can achieve a high accuracy and locations information compared with the modulus maxima method. In the quantitative information entropy method, multidimensional signal is processed by dimensionality reduction and can be widely applied to various research fields, such as fingerprint identification and facial identification.

목차

Abstract
 1. Introduction
 2. Quantitative Information Entropy and the Mean Vector Model
  2.1. Quantitative Information Entropy
  2.2. Quantitative Information Entropy based on Time
  2.3. Mean Vector Model of Quantitative Information Entropy
 3. Experimental Simulation and Analysis
  3.1. Experimental Comparison and Analysis
  3.2. Comparison and Analysis of Singularity Detection Performance
 4. Conclusions
 Acknowledgments
 References

키워드

저자

• Kang Weixin [ College of Information and Communication Engineering, Harbin Engineering University, Harbin, China ]
• Li Jingde [ College of Information and Communication Engineering, Harbin Engineering University, Harbin, China ]
• Liu Yumei [ College of Information and Communication Engineering, Harbin Engineering University, Harbin, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605