Investigation of generalized S-transform analysis windows for time-frequency analysis of seismic reflection data

被引:41
|
作者
Li, Duan [1 ]
Castagna, John [1 ]
Goloshubin, Gennady [1 ]
机构
[1] Univ Houston, Dept Earth & Atmospher Sci, Houston, TX 77004 USA
关键词
DECOMPOSITION; LOCALIZATION; GAS;
D O I
10.1190/GEO2015-0551.1
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 frequency-dependent width of the Gaussian window function used in the S-transform may not be ideal for all applications. In particular, in seismic reflection prospecting, the temporal resolution of the resulting S-transform time-frequency spectrum at low frequencies may not be sufficient for certain seismic interpretation purposes. A simple parameterization of the generalized S-transform overcomes the drawback of poor temporal resolution at low frequencies inherent in the S-transform, at the necessary expense of reduced frequency resolution. This is accomplished by replacing the frequency variable in the Gaussian window with a linear function containing two coefficients that control resolution variation with frequency. The linear coefficients can be directly calculated by selecting desired temporal resolution at two frequencies. The resulting transform conserves energy and is readily invertible by an inverse Fourier transform. This modification of the S-transform, when applied to synthetic and real seismic data, exhibits improved temporal resolution relative to the S-transform and improved resolution control as compared with other generalized S-transform window functions.
引用
收藏
页码:V235 / V247
页数:13
相关论文
共 50 条
  • [21] S-transform based on analytic discrete cosine transform for time-frequency analysis
    Roopa, S.
    Narasimhan, S. V.
    SIGNAL PROCESSING, 2014, 105 : 207 - 215
  • [22] An improved time-frequency analysis method for structural instantaneous frequency identification based on generalized S-transform and synchroextracting transform
    Yuan, Ping-Ping
    Zhang, Jian
    Feng, Jia-Qi
    Wang, Hang-Hang
    Ren, Wei-Xin
    Wang, Chao
    ENGINEERING STRUCTURES, 2022, 252
  • [23] The Synchrosqueezing Algorithm Based on Generalized S-transform for High-Precision Time-Frequency Analysis
    Chen, Hui
    Lu, Lingqi
    Xu, Dan
    Kang, Jiaxing
    Chen, Xuping
    APPLIED SCIENCES-BASEL, 2017, 7 (08): : 769
  • [24] 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
  • [25] Time-Frequency Analysis of Seismic Data Using a Three Parameters S Transform
    Liu, Naihao
    Gao, Jinghuai
    Zhang, Bo
    Li, Fangyu
    Wang, Qian
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2018, 15 (01) : 142 - 146
  • [26] Time-Frequency Phase Analysis of Ictal EEG Recordings With the S-Transform
    Pinnegar, C. Robert
    Khosravani, Houman
    Federico, Paolo
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2009, 56 (11) : 2583 - 2593
  • [27] 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
  • [28] Time-Frequency Analysis of Seismic Data Using Synchrosqueezing Transform
    Wang, Ping
    Gao, Jinghuai
    Wang, Zhiguo
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2014, 11 (12) : 2042 - 2044
  • [29] Time-Reassigning Transform for the Time-Frequency Analysis of Seismic Data
    Song, Yuanwei
    Hu, Ying
    Chen, Xuping
    Chen, Hui
    Zhang, Pu
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 62
  • [30] Wavelet transform with generalized beta wavelets for seismic time-frequency analysis
    Wang, Zhiguo
    Zhang, Bing
    Gao, Jinghuai
    Wang, Qingzhen
    Liu, Qing Huo
    GEOPHYSICS, 2017, 82 (04) : O47 - O56