Authors:
W. Freeden Universität Kaiserslautern, Arbeitsgruppe Geomathematik Kurt-Schumacher-strasse 26, D-67663 Kaiserslautern, Germany

Search for other papers by W. Freeden in
Current site
Google Scholar
PubMed
Close
,
V. Michel
Search for other papers by V. Michel in
Current site
Google Scholar
PubMed
Close
, and
M. Stenger
Search for other papers by M. Stenger in
Current site
Google Scholar
PubMed
Close
Restricted access

The basic idea behind selective multiscale reconstruction of functions from error- afiected data is outlined on the sphere. The selective reconstruction mechanism is based on the premise that multiscale approximation can be well-represented in terms of only a relatively small number of expansion coeficients at various resolution levels. An attempt is made within a tree algorithm (pyramid scheme) to remove the noise component from each scale coefilient usinga priori statistical information (provided by an error covariance kernel of a Gaussian, stationary stochastic model)

  • Collapse
  • Expand

To see the editorial board, please visit the website of Springer Nature.

Manuscript Submission: HERE

For subscription options, please visit the website of Springer Nature.

Acta Geodaetica et Geophysica
Language English
Size B5
Year of
Foundation
2013
Volumes
per Year
1
Issues
per Year
4
Founder Magyar Tudományos Akadémia
Founder's
Address
H-1051 Budapest, Hungary, Széchenyi István tér 9.
Publisher Akadémiai Kiadó Springer
Nature Switzerland AG
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
CH-6330 Cham, Switzerland Gewerbestrasse 11.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 2213-5812 (Print)
ISSN 2213-5820 (Online)

Monthly Content Usage

Abstract Views Full Text Views PDF Downloads
Feb 2024 3 0 0
Mar 2024 11 0 0
Apr 2024 5 0 0
May 2024 2 0 0
Jun 2024 18 0 1
Jul 2024 1 0 0
Aug 2024 0 0 0