Modern Singular Spectral-Based Denoising and Filtering Techniques for 2D and 3D Reflection Seismic Data [E-Book] / by R. K. Tiwari, R. Rekapalli.
This book discusses the latest advances in singular spectrum-based algorithms for seismic data processing, providing an update on recent developments in this field. Over the past few decades, researchers have extensively studied the application of the singular spectrum-based time and frequency domai...
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Full text |
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Personal Name(s): | Tiwari, R. K., author |
Rekapalli, R., author | |
Edition: |
1st edition 2020. |
Imprint: |
Cham :
Springer,
2020
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Physical Description: |
XVI, 157 pages 104 illustrations, 43 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783030193041 |
DOI: |
10.1007/978-3-030-19304-1 |
Subject (LOC): |
- 1. Introduction to Denoising and Data Gap Filling of Seismic Reflection Data
- 2. Time and Frequency Domain Eigen Image and Cadzow Noise Filtering of 2D Seismic Data
- 3. Time Domain Frequency Filtering of High Resolution Seismic Reflection Data Using Singular Spectral Analysis
- 4. Frequency and Time Domain SSA for 2D Seismic Data Denoising
- 5. Filtering 2D Seismic Data Using the Time Slice Singular Spectral Analysis
- 6. Robust and Fast Algorithms for Singular Spectral Analysis of Seismic Data
- 7. Denoising the 3D Seismic Data Using Multichannel Singular Spectrum Analysis
- 8. Seismic Data Gap Filling Using the Singular Spectrum Based Analysis
- 9. Singular Spectrum vs. Wavelet Based Denoising Schemes in Generalized Inversion Based Seismic Wavelet Estimation
- 10. Singular Spectrum-based Filtering to Enhance the Resolution of Seismic Attributes
- 11. Singular Spectrum Analysis with MATLAB
- Appendix
- Index.