Earticle

초록

영어

A generalized S transform based on energy normalized windows is presented, which avoids the weighting effect of existing S transform influenced by the time-frequency spectral energy. The transform can reflect the spectral energy distribution of different frequency components while maintaining the excellent time-frequency resolution. While TT transform is a new approach to process non-stationary signal based on S transform, which has differential concentration for different frequency components, and lower frequency components can be suppressed through extracting the TT spectrum’s diagonal elements. However, this method has a deficiency that part of high frequency interference is retained during processing low frequency signal. Therefore, time-frequency filtering based on the generalizing S transform is used to suppress the high frequency interference and TT transform is adopted to suppress the low frequency contents. Finally, this method is used to process seismic data, the result demonstrates the effective of combining energy normalized S transform and TT transform.

목차

Abstract
 1. Introduction
 2. S Transform and TT Transform
 3. S Transform based on Energy Normalized Window and the Corresponding TT Transform
 4. Time-Frequency and Time-Time Filtering
 5. Conclusions
 Acknowledgements
 References

키워드

저자

• Jicheng Liu [ Northeast Petroleum University, Daqing, Heilongjiang 163318, People’ Republic of China ]
• Jianhong Yao [ Northeast Petroleum University, Daqing, Heilongjiang 163318, People’ Republic of China ]
• Xia Liu [ Northeast Petroleum University, Daqing, Heilongjiang 163318, People’ Republic of 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