The application of compressed sensing techniques in radio astronomy

Anna M M Scaife*, Yves Wiaux

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


Radio interferometry probes astrophysical signals through incomplete and noisy Fourier measurements. The optimal reconstruction of these signals is an important topic not only for current astronomical imaging but also that of the next generation of radio telescopes, for many of which image dynamic range is a key driver. The theory of compressed sensing demonstrates that incompletely sampled signals, such as those from an interferometer, may be accurately reconstructed when they are sparse or compressible in some basis. The introduction of an explicit sparsity constraint makes the method extremely versatile as it allows prior information on the signal to be introduced. Compressed sensing has been demonstrated to offer significant improvement over standard algorithms, and the flexibility of the framework and its implications for wide-field imaging are compelling, as is its potential for influencing data acquisition methods and improving data storage and transport.

Original languageEnglish
Title of host publication30th URSI General Assembly and Scientific Symposium
Number of pages4
ISBN (Print)9781424451173
Publication statusPublished - 2011
Event30th URSI General Assembly and Scientific Symposium, 2011 - Istanbul, Turkey
Duration: 13 Aug 201120 Aug 2011


Conference30th URSI General Assembly and Scientific Symposium, 2011
Abbreviated titleURSIGASS 2011

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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