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.

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Metadaten
Author:W. Freeden, S. Pereverzev
URN (permanent link):urn:nbn:de:hbz:386-kluedo-9983
Serie (Series number):Berichte der Arbeitsgruppe Technomathematik (AGTM Report) (222)
Document Type:Preprint
Language of publication:English
Year of Completion:2000
Year of Publication:2000
Publishing Institute:Technische Universität Kaiserslautern
Tag:Ill-posed problem ; random noise ; rate of convergence ; regularization wavelets ; satellite gradiometry
Faculties / Organisational entities:Fachbereich Mathematik
DDC-Cassification:510 Mathematik

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