Earticle

초록

영어

S-transform is a new time-frequency analysis method, which is deduced from short-time Fourier transform and continue Wavelet transform. It has much better performance than traditional time-frequency method. Therefore, in this paper, the basic principle of is briefly introduced and the relationships between is analyzed by theoretical derivation. According to the simulation experiments, the time-frequency space characteristics of short-time Fourier transform, Wigner-Ville distribution and S-transform are contrasted. As the results shown, the window of S-transform has a progressive frequency dependent resolution. So the S-transform has a great flexibility and utility in the processing of non-stationary signal. Compare with the time-frequency spectrum of three different analysis methods under various noise conditions, it is obvious that S-transform has much better anti-noise performance than that of traditional methods for non-stationary signal processing. Based on the superior time-frequency resolution, the S-transform spectrum can be used to describe the structure of incoming signal effectively.

목차

Abstract
 1. Introduction
 2. The Introduction of S-Transform
  2.1. Deduce S-transform from Short-time Fourier Transform
  2.2. Deduce S-transform from Continue Wavelet Transform
  2.3. The inverse S-transform
 3. The Discrete S-transform
  3.1. Deduce S-transform from Short-time Fourier Transform
  3.2. Deduce S-transform from Continue Wavelet Transform
 4. Comparison Task
  4.1. The Time-frequency Comparison Task
  4.2. The Anti-noise Property Comparison Task
  4.3. The Ability to Distinguish Different Signals
 5. Conclusion
 Acknowledgements
 References

키워드

저자

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