Reconstructing signals from noisy data with unknown signal and noise covariance

Oppermann, N.; Robbers, G.; Enßlin, T. A.

doi:10.1063/1.4819991

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Reconstructing signals from noisy data with unknown signal and noise covariance

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Oppermann, N.
Computational Structure Formation, MPI for Astrophysics, Max Planck Society;

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Robbers, G.
Computational Structure Formation, MPI for Astrophysics, Max Planck Society;

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Enßlin, T. A.
Computational Structure Formation, MPI for Astrophysics, Max Planck Society;

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Oppermann, N., Robbers, G., & Enßlin, T. A. (2013). Reconstructing signals from noisy data with unknown signal and noise covariance. In U. VonToussaint (Ed.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering (pp. 122-129). doi:10.1063/1.4819991.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0014-B067-2

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