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Sparsity-based denoising of hyperspectral astrophysical data with colored noise: Application to the MUSE instrument., , and . WHISPERS, page 1-4. IEEE, (2010)Detection of astrophysical sources in hyperspectral data. Applications to the MUSE instrument., , and . ICIP, page 6031-6035. IEEE, (2014)PDR and LRMAP detection tests applied to massive hyperspectral data., , and . CAMSAP, page 93-96. IEEE, (2011)Detection Tests Using Sparse Models, With Application to Hyperspectral Data., , and . IEEE Trans. Signal Process., 61 (6): 1481-1494 (2013)Using hydrodynamical simulations of stellar atmospheres for periodogram standardization: Application to exoplanet detection., , and . ICASSP, page 4428-4432. IEEE, (2016)The MUSE Hubble Ultra Deep Field Survey: I. Survey description, data reduction and source detection, , , , , , , , , and 17 other author(s). (2017)cite arxiv:1710.03002Comment: 21 pages.Subspace learning in minimax detection., , and . ICASSP, page 3062-3066. IEEE, (2014)Sparsity-based spatial-spectral restoration of muse astrophysical hyperspectral data cubes., , , and . WHISPERS, page 1-4. IEEE, (2011)Distributed multi-frequency image reconstruction for radio-interferometry., , , and . EUSIPCO, page 1483-1487. IEEE, (2016)Minimax sparse detection based on one-class classifiers., , and . ICASSP, page 5553-5557. IEEE, (2013)