Spherical Tikhonov Regularization Wavelets in Satellite Gravity Gradiometry with Random Noise
- This paper considers a special class of regularization methods for satellite gravity gradiometry based on Tikhonov spherical regularization wavelets with particular emphasis on the case of data blurred by random noise. A convergence rate is proved for the regularized solution, and a method is discussed for choosing the regularization level a posteriori from the gradiometer data.
Author: | W. Freeden, S. Pereverzev |
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URN: | urn:nbn:de:hbz:386-kluedo-9983 |
Series (Serial Number): | Berichte der Arbeitsgruppe Technomathematik (AGTM Report) (222) |
Document Type: | Preprint |
Language of publication: | English |
Year of Completion: | 2000 |
Year of first Publication: | 2000 |
Publishing Institution: | Technische Universität Kaiserslautern |
Date of the Publication (Server): | 2000/03/21 |
Tag: | Ill-posed problem; random noise; rate of convergence; regularization wavelets; satellite gradiometry |
Faculties / Organisational entities: | Kaiserslautern - Fachbereich Mathematik |
DDC-Cassification: | 5 Naturwissenschaften und Mathematik / 510 Mathematik |
Licence (German): | Standard gemäß KLUEDO-Leitlinien vor dem 27.05.2011 |