Earticle

초록

영어

Multiple fractal dimensions can be used to depict the geometry characteristic of the radiation source signals from different dimensions, thus it can be used to extract the features of different radiation source signals. In this paper, it proposes an improved feature extraction algorithm of radiation source signals based on the multiple fractal theory, it improves the solution method of traditional multiple fractal dimension which accumulated the q dimensions characteristics. Meantime, it increases the regularity and gathered degrees of the characteristics of radiation source signals, and under the condition that the basic computational complexity of algorithm is not changed. Simulation results show that, for the classification of different radiation source signals, the improved algorithm has better property and classification rate.

목차

Abstract
 1. Introduction
 2. Multiracial Theory
  2.1. Traditional Multi-fractal Dimension Algorithm
  2.2. Improved Multi-fractal Dimension Algorithm
 3. Simulation Results and Analysis
 4. Conclusion
 Acknowledgements
 References

키워드

저자

• Jinfeng Pang [ College of Information and Communication Engineering Harbin Engineering University Harbin, China ]
• Yun Lin [ College of Information and Communication Engineering Harbin Engineering University Harbin, China ]
• Xiaochun Xu [ 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