Title Modern Singular Spectral-Based Denoising and Filtering Techniques for 2D and 3D Reflection Seismic Data Author(s) Tiwari, R. K;Rekapalli, R Publication Cham, Springer International Publishing, 2020. Description XVI, 157 p. 104 illus., 43 illus. in color : online resource Abstract Note 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 domain eigen image methods, singular spectrum analysis (SSA) and multichannel SSA for various geophysical data. This book addresses seismic reflection signals, which represent the amalgamated signals of several unwanted signals/noises, such as ground roll, diffractions etc. Decomposition of such non-stationary and erratic field data is one of the multifaceted tasks in seismic data processing. This volume also includes comprehensive methodological and parametric descriptions, testing on appropriately generated synthetic data, as well as comparisons between time and frequency domain algorithms and their applications to the field data on 1D, 2D, 3D and 4D data sets. Lastly, it features an exclusive chapter with MATLAB coding for SSA ISBN,Price 9783030193041 Keyword(s) 1. Earth System Sciences 2. EBOOK 3. EBOOK - SPRINGER 4. ENVIRONMENTAL MANAGEMENT 5. Fossil fuels 6. Fossil Fuels (incl. Carbon Capture) 7. GEOPHYSICS 8. Geophysics and Environmental Physics 9. Geophysics/Geodesy 10. Noise control 11. Physical geography Item Type eBook Multi-Media Links Please Click here for eBook Circulation Data Accession#   Call# Status Issued To Return Due On Physical Location I09103     On Shelf