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We derive a method to reconstruct Gaussian signals from linear measurements with Gaussian noise.
Kullback, S. & Leibler, R. A., On Information and Sufficiency, The Annals of Mathematical Statistics 22
1951
Earlier work this paper cites.
Olsen, S. I., Estimation of noise in images: an evaluation, CVGIP: Graph. Models Image Process. 55
1993
Earlier work this paper cites.
Starck, J.-L. & Murtagh, F., Automatic Noise Estimation from the Multiresolution Support, PASP 110
1998
Earlier work this paper cites.
Koltchinskii, V. I., Empirical Geometry of Multivariate Data: A Deconvolution Approach, The Annals of Statistics 28
2000
Earlier work this paper cites.
Górski, K. M., Hivon, E., Banday, A. J., et al., HEALPix: A Framework for High-Resolution Discretization and Fast Analysis of Data Distributed on the Sphere, Astrophys. J. 622
2005
Cited alongside, same era.
2009
Cited alongside, same era.
2010
Cited alongside, same era.
Sage. 2010, SAGE Mathematical Software, Version 4.3.3., http://www.sagemath.org
2010
Cited alongside, same era.
Oppermann, N. e. a., An improved map of the Galactic Faraday depth (in prep.)
Cited in the paper.
Schwarz, M. & van Bellegem, S., Consistent density deconvolution under partially known error distribution, Statistics & Probability Letters 80
2010
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2011
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2011
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