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Fionn Murtagh, Jean-Luc Starck
Physics and Astronomy Online Library
Astronomical Image and Data Analysis

Using information and scale as central themes, this comprehensive survey explains how to handle real problems in astronomical data analysis through a modern arsenal of powerful techniques. The coverage includes chapters or appendices on: detection and filtering; image compression; multichannel, multiscale, and catalog data analytical methods; wavelets transforms, Picard iteration, and software tools.

Table of Contents
  • Introduction to Applications and Methods
  • Deconvolution
  • Detection
  • Image Compression
  • Multichannel Data
  • An Entropic Tour of Astronomical Data Analysis
  • Astronomical Catalog Analysis
  • Multiple Resolution in Data Storage and Retrieval
  • Towards the Virtual Observatory
  • Appendix A: Picard Iteration
  • Appendix B: Wavelet Transform Using the Fourier Transform
  • Appendix C: Derivative Needed for the Minimization
  • Appendix D: Generalization of the Derivative Needed for Minimization

Observing astronomers, researchers, graduate students

Springer Berlin, 2006, 302 S.
96,25 Euro
Hardcover, w. figs. (some col.)
ISBN: 978-3-540-33024-0

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