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

被引:44
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
  • [31] Adaptive Dolph-Chebyshev window-based S transform in time-frequency analysis
    Yao, Wenxuan
    Teng, Zhaosheng
    Tang, Qiu
    Zuo, Peili
    IET SIGNAL PROCESSING, 2014, 8 (09) : 927 - 937
  • [32] High-frequency compensation for seismic data based on adaptive generalized S transform
    Li Hui-Feng
    Wang Jin
    Wei Zheng-Rong
    Yang Fei-Long
    APPLIED GEOPHYSICS, 2020, 17 (5-6) : 747 - 755
  • [33] High-resolution seismic complex trace analysis by adaptive fast sparse S-transform
    Sattari, Hamid
    GEOPHYSICS, 2017, 82 (01) : V51 - V67
  • [34] The S-transform using a new window to improve frequency and time resolutions
    Kazemi, Kamran
    Amirian, Mohammadreza
    Dehghani, Mohammad Javad
    SIGNAL IMAGE AND VIDEO PROCESSING, 2014, 8 (03) : 533 - 541
  • [35] Application of the empirical mode decomposition and wavelet transform to seismic reflection frequency attenuation analysis
    Xue, Ya-juan
    Cao, Jun-xing
    Tian, Ren-fei
    Du, Hao-kun
    Shu, Ya-xiang
    JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2014, 122 : 360 - 370
  • [36] Non-destructive building investigation through analysis of GPR signal by S-transform
    Szymczyk, P.
    Szymczyk, M.
    AUTOMATION IN CONSTRUCTION, 2015, 55 : 35 - 46
  • [37] Time-Frequency Analysis of ERG With Discrete Wavelet Transform and Matching Pursuits for Glaucoma
    Sarossy, Marc
    Crowston, Jonathan
    Kumar, Dinesh
    Weymouth, Anne
    Wu, Zhichao
    TRANSLATIONAL VISION SCIENCE & TECHNOLOGY, 2022, 11 (10):
  • [38] Time-synchroextracting of generalized S-transform and its application in fault identification
    Zhang, Huixing
    Wu, Xuefeng
    He, Bingshou
    Guo, Meng
    JOURNAL OF APPLIED GEOPHYSICS, 2023, 216
  • [39] Time Frequency Analysis: A Sparse S Transform Approach
    Patel, Kashyap
    Kurian, Nikhil Cherian
    George, Nithin V.
    2016 INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING AND COMMUNICATION SYSTEMS (ISPACS), 2016, : 128 - 131
  • [40] Sparse unscaled time-frequency transform and its application on seismic attenuation delineation
    Liu, Naihao
    Wei, Shengtao
    Li, Shengjun
    Yang, Yang
    Zhang, Yijie
    Gao, Jinghuai
    GEOPHYSICS, 2023, 88 (06) : B355 - B368