An Improved Unscale S-Transform in Frequency Domain

被引:0
|
作者
Zhang, Junjie [1 ]
Li, Jingye [1 ]
Wang, Shoudong [1 ]
Geng, Weiheng [1 ]
Cheng, Wanli [1 ]
机构
[1] China Univ Petr, Natl Engn Lab Offshore Oil Explorat, State Key Lab Petr Resources & Prospecting, Beijing 102249, Peoples R China
关键词
Time-frequency analysis; Reservoirs; Energy resolution; Continuous wavelet transforms; Laplace equations; Fourier transforms; Time-domain analysis; Frequency-domain form of unscaled modified S-transform (FUMST); improved time resolution; Index Terms; linear function of frequency; time-frequency analysis method;
D O I
暂无
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
The time-frequency analysis methods are powerful tools in seismic interpretation and bright spot identification. The S-transform (ST), as a hybrid of the short-time Fourier transform (STFT) and continuous wavelet transform (CWT), can achieve progressive time-frequency resolution. However, limited by its linear-frequency-dependent term, the ST obtains a deviated frequency distribution. By removing this term, the frequency form of unscaled ST (FUST), as a variation of the ST, is proposed to preserve the reliable frequency distribution. The fly in the ointment is that the FUST decreases the temporal resolution of the low-frequency components, which may not be suitable for seismic reflection interpretation and reservoir location. In addition, the ST cannot tailor the time-frequency resolution for particular applications. To solve these problems, a simple and effective method is proposed by substituting the basis of the FUST. The proposed method can obtain the desired time resolution by adjusting two adjustable parameters. The corresponding inverse transform is also derived to guarantee its energy conservation and inevitable property. Numerical experiments and real data examples show better performance of the proposed method in improving temporal resolution and reservoir location over the ST and FUST.
引用
收藏
页数:5
相关论文
共 50 条
  • [1] An Improved Unscale S-Transform in Frequency Domain
    Zhang, Junjie
    Li, Jingye
    Wang, Shoudong
    Geng, Weiheng
    Cheng, Wanli
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2023, 20
  • [2] An Improved S-Transform for Time-Frequency Analysis
    Sahu, Sitanshu Sekhar
    Panda, Ganapati
    George, Nithin V.
    2009 IEEE INTERNATIONAL ADVANCE COMPUTING CONFERENCE, VOLS 1-3, 2009, : 315 - 319
  • [3] An improved generalized S-transform
    Qi, Chun-Yan
    Li, Yan-Peng
    Peng, Ji-Xin
    Zhang, Gu-Lan
    Zhang, Yan-Bin
    Shiyou Diqiu Wuli Kantan/Oil Geophysical Prospecting, 2010, 45 (02): : 215 - 218
  • [4] The analysis and improvement on time-frequency filtering in S-transform domain
    School of Geosciences, China University of Petroleum, Qingdao, China
    不详
    Geophys. Prospect. Pet., 4 (396-403):
  • [5] EEG time-frequency analysis based on the improved S-transform
    Zhang Shaobai
    Huang Dandan
    2013 25TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2013, : 3410 - 3413
  • [6] Improved S-Transform for Time-Frequency Analysis for Power Quality Disturbances
    Liang, Chengbin
    Teng, Zhaosheng
    Li, Jianmin
    Yao, Wenxuan
    Wang, Lei
    He, Qing
    Hu, Shiyan
    IEEE TRANSACTIONS ON POWER DELIVERY, 2022, 37 (04) : 2942 - 2952
  • [7] A method of EEG time-frequency analysis based on the improved S-transform
    Zhang, Shaobai
    Huang, Dandan
    Journal of Computational Information Systems, 2014, 10 (01): : 145 - 151
  • [8] Statistical denoising of signals in the S-transform domain
    Man Weishi
    Gao Jinghuai
    COMPUTERS & GEOSCIENCES, 2009, 35 (06) : 1079 - 1086
  • [9] Windowed Fourier transform profilometry based on improved S-transform
    Da, F.
    Dong, F.
    OPTICS LETTERS, 2012, 37 (17) : 3561 - 3563
  • [10] Instantaneous frequency estimation using the S-transform
    Sejdic, Ervin
    Stankovic, LJubisa
    Dakovic, Milos
    Jiang, Jin
    IEEE SIGNAL PROCESSING LETTERS, 2008, 15 : 309 - 312