Dissertation > Excellent graduate degree dissertation topics show

Time-frequency Analysis and Its Implication in Seismic Signal

Author: ChenBin
Tutor: CaoJunXing
School: Chengdu University of Technology
Course: Earth Exploration and Information Technology
Keywords: Time-frequency analysis Wigner-Ville transformation SPWT Low frequency shadow Seismic attribute
CLC: P631.4
Type: Master's thesis
Year: 2007
Downloads: 631
Quote: 6
Read: Download Dissertation


Seismic signal is one of very complicated non-stationary signals, and time-frequency analysis is an important method in non-stationary signal analysis. So this thesis presents the study of applying time-frequency analysis to seismic signal processing works.There are four chapters in the thesis. First: the study background. Second: the basis of time-frequency analysis, introduces the basic theory and deduces some theorems and formulas in detail. Third: general time-frequency analysis methods, introduces some general time-frequency analysis in seismic methods such as short-time Fourier transformation, wavelet transformation, quadratic time-frequency analysis (includes Wigner-Ville transformation and Affine transformation); and then improves Wigner-Ville transformation by smoothing and windowing based on the study of improvement of quadratic time-frequency analysis. Finally, the application of time-frequency analysis in seismic signal processing works, respectively.The main achievements of the thesis are as follows:(1) Improves the Wigner-Ville transformation by smoothing and windowing on the basis of the study of improving quadratic time-frequency analysis.(2) By comparing these methods gets the result that Wigner-Ville transformation has best time-frequency resolution and smoothing and windowing improvement can eliminate the disturb terms in Wigner-Ville transformation.(3) The Improved Wigner-Ville transformation is applied to seismic processing, such as: displaying seismic profile by single frequency mode, detecting the low frequency shadow related to gas concentration and so on. The result shows that the time-frequency analysis can be used to noise suppression directly indicate hydrocarbon and so on, all of which would be very important for seismic processing works.

Related Dissertations

  1. The Research on Ship Imaging Algorithm under the Sea Clutter Background,TN958
  2. Band Entropy Method and Its Application to Fault Diagnosis of Rolling Bearings,TH165.3
  3. Arteriovenous wave pathological feature extraction and multidimensional nonlinear analysis methods,R318.0
  4. Experimental and Application Researches on Internal Grout Condition Evaluation of Tendon Ducts,U445.57
  5. The timing jitter Research HHT - based algorithm,TN914
  6. Research on the Application of Wavelet Transform in Turbine Nonlinear Vibration Fault Diagnosis,TK267
  7. Feature Extraction and Recognition Method of Large Time-width Radar Signal,TN957.51
  8. Heart sound noise reduction and segmentation method of heart sounds,R318.04
  9. Research on Frequency-Alterable Underwater Cooperate Target Localization,TN912.3
  10. Generalized S transform time-frequency analysis applied research,TN911.7
  11. S-Method is based on the decomposition of the HF frequency radar signal detection algorithm for maneuvering target,TN957.51
  12. Based on fractional Fourier transform texture image segmentation,TP391.41
  13. Methods Study of Helicopter-borne Towed Bird Time Domain Electromagnetic Data Processing,V247.5
  14. The Odd Akekule East Sandstone Reservoir Prediction of Tarim Basin in Xinjiang,P618.13
  15. Optically compensating film of the dispersion,O484.1
  16. Study on Interference Rejection Techniques in Spread-spectrum System,TN914.42
  17. Time-frequency analysis of the application of the RCS test method,TN953
  18. Mathematical Methods in geophysical exploration,O242.1
  19. EEG analysis in the study of cognitive function,R318.0
  20. ARM Detection and Recognition Technique Based on External Illuminator,TJ761
  21. Frequency analysis and filtering based on EMD when,TN911.7

CLC: > Astronomy,Earth Sciences > Geology > Geology, mineral prospecting and exploration > Geophysical exploration > Seismic exploration
© 2012 www.DissertationTopic.Net  Mobile