The applications of compressive sensing to radio astronomy

Authors:
Feng Li;Tim J. Cornwell;Frank De Hoog
Affiliations:
Australian Commonwealth Scientific and Research Organization;Australian Commonwealth Scientific and Research Organization;Australian Commonwealth Scientific and Research Organization
Venue:
WASA'10 Proceedings of the 5th international conference on Wireless algorithms, systems, and applications
Year:
2010

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Abstract

Compressive sensing/sampling (CS) has been one of the most active research in signal and image processing since it was proposed. The importance of CS is that it provides a high performance sampling theory for sparse signals or signals with sparse representation. CS has shown outstanding performances in many applications. In this paper we discuss two potential applications of CS in radio astronomy: image deconvolution and Faraday rotation measure synthesis. Both theoretical analysis and experimental results show that CS will bring radio astronomy to a brand new stage.