Volume 398, Issue 3 pp. 1317-1332

Wavelet domain Bayesian denoising of string signal in the cosmic microwave background

D. K. Hammond

Corresponding Author

D. K. Hammond

Institute of Electrical Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland

E-mail: [email protected] (DKH); [email protected] (YW); [email protected] (PV)Search for more papers by this author
Y. Wiaux

Corresponding Author

Y. Wiaux

Institute of Electrical Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland

E-mail: [email protected] (DKH); [email protected] (YW); [email protected] (PV)Search for more papers by this author
P. Vandergheynst

Corresponding Author

P. Vandergheynst

Institute of Electrical Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland

E-mail: [email protected] (DKH); [email protected] (YW); [email protected] (PV)Search for more papers by this author
First published: 09 September 2009
Citations: 1

ABSTRACT

An algorithm is proposed for denoising the signal induced by cosmic strings in the cosmic microwave background. A Bayesian approach is taken, based on modelling the string signal in the wavelet domain with generalized Gaussian distributions. Good performance of the algorithm is demonstrated by simulated experiments at arcminute resolution under noise conditions including primary and secondary cosmic microwave background anisotropies, as well as instrumental noise.

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