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Fischer, Doreen: Sparse regularization of a joint inversion of gravitational data and normal mode anomaliesKombinierte Inversion von Gravitationsdaten und Normal-Mode-Anomalien mittels Sparse Regularization. 2011
Content
Acknowledgements
Abstract
Zusammenfassung
Contents
Introduction
I. Fundamentals
1. Preliminaries
1.1. Basic Settings and Spherical Geometry
1.2. Orthogonal Polynomials
1.3. Kernel Functions
1.4. Inverse Problems
1.5. Foundations of Functional Analysis
1.6. Sobolev Spaces
1.7. Point Grids
2. Basic Problems
2.1. Inverse Gravimetry
2.2. Normal Mode Tomography
II. Matching Pursuit
3. Functional Matching Pursuit
3.1. Sparse Regularization and Overcomplete Signal Representation
3.2. The Algorithm
3.3. Theoretical Results
3.4. Outlook: Orthogonal Matching Pursuit
3.5. Implementation of the Basic Functional Matching Pursuit
4. Regularized Functional Matching Pursuit
4.1. The Algorithm
4.2. Theoretical Results
4.3. Implementation of the Regularized Basic Functional Matching Pursuit
4.4. Alternative: The Least Mixed Norms Problem (MRFMP)
III. Numerical Applications
5. Reconstructing the Mass Density Distribution of the Earth
5.1. by Using Gravimetric Data (EGM2008): Example South America
5.2. Remark: The Sparse Regularization Point of View (MRFMP _l1)
5.3. by Combining Gravitational and Normal Mode Data
6. Reconstructing the Mass Transport in the Amazon Area
IV. In the End
7. Summary
8. Outlook
V. Appendix
A. Treating Boundary Effects
Bibliography
Index