• DocumentCode
    264943
  • Title

    The Denosing of Seismic Signal Based on Generalized S Transform

  • Author

    Yongxia Yang ; Xiaohua Cai ; Xian Li

  • Author_Institution
    Dept. of Electron. & Inf. Eng., Xi´an Technol. Univ., Xi´an, China
  • Volume
    1
  • fYear
    2014
  • fDate
    26-27 Aug. 2014
  • Firstpage
    275
  • Lastpage
    278
  • Abstract
    The S transform filtering methods are restricted by a fixed window function, so generalized S transform filtering methods are put forward. Firstly, generalized S transform whose time frequency resolution can be adjustable is achieved by altering normal S transform. The numerical implementation of generalized S transform is introduced later. Secondly, generalized S transform filtering methods are applied to denoising of seismic signal, respectively use time-frequency filtering and threshold filtering based on generalized S transform to filter, the filtering operators are designed for the different frequency characteristics of signals. By synthetic seismic signals and real seismic data simulation demonstrate that generalized S transform filtering methods have obvious effectiveness, the methods eliminate effectively noises at different time intervals and different frequencies, reserve the primary information maximally. This paper shows that generalized S transform filtering methods are effective and provide a effective method for the denoising of seismic signal.
  • Keywords
    filtering theory; geophysical signal processing; geophysical techniques; seismic waves; signal denoising; signal resolution; time-frequency analysis; transforms; fixed window function; generalized S transform filtering methods; normal S transform; real seismic data simulation; seismic signal denosing; synthetic seismic signals; threshold filtering; time frequency resolution; time-frequency filtering; Filtering; Laplace equations; Signal resolution; Signal to noise ratio; Time-frequency analysis; Transforms; filtering method; generalized S transform; seismic signal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2014 Sixth International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4799-4956-4
  • Type

    conf

  • DOI
    10.1109/IHMSC.2014.74
  • Filename
    6917357