Published June 2010
| Published
Journal Article
Open
Astronomical Data Analysis and Sparsity: From Wavelets to Compressed Sensing
- Creators
- Starck, Jean-Luc
- Bobin, Jérôme
Abstract
Wavelets have been used extensively for several years now in astronomy for many purposes, ranging from data filtering and deconvolution to star and galaxy detection or cosmic-ray removal. More recent sparse representations such as ridgelets or curvelets have also been proposed for the detection of anisotropic features such as cosmic strings in the cosmic microwave background. We review in this paper a range of methods based on sparsity that have been proposed for astronomical data analysis. We also discuss the impact of compressed sensing, the new sampling theory, in astronomy for collecting the data, transferring them to earth or reconstructing an image from incomplete measurements.
Additional Information
© 2009 IEEE. Manuscript received March 13, 2009; revised May 29, 2009; accepted June 1, 2009. Date of publication October 30, 2009; date of current version May 19, 2010. The authors wish to thank J. Fadili for useful comments. This work was partially supported by the French National Agency for Research (ANR -08-EMER-009-01).Attached Files
Published - Starck2010p10183P_Ieee.pdf
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Starck2010p10183P_Ieee.pdf
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Additional details
- Eprint ID
- 18598
- Resolver ID
- CaltechAUTHORS:20100608-081918042
- ANR-08-EMER-009-01
- French National Agency for Research
- Created
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2010-06-09Created from EPrint's datestamp field
- Updated
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2021-11-08Created from EPrint's last_modified field