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Comparison of supergaussianity and whiteness assumptions for blind deconvolution in noisy context.

, и . EUSIPCO, стр. 1-5. IEEE, (2006)

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Research for the Detection of Explosives at CEA: Towards Operational Use., , , , , , , , , и 9 other автор(ы). Future Security, том 318 из Communications in Computer and Information Science, стр. 412-427. Springer, (2012)Markovian Source Separation in Post-nonlinear Mixtures., , и . ICA, том 3195 из Lecture Notes in Computer Science, стр. 702-709. Springer, (2004)Comparison of supergaussianity and whiteness assumptions for blind deconvolution in noisy context., и . EUSIPCO, стр. 1-5. IEEE, (2006)Recursive Least Squares algorithm dedicated to early recognition of explosive compounds thanks to multi-technology sensors., , , и . ICASSP, стр. 8761-8765. IEEE, (2013)From neuronal cost-based metrics towards sparse coded signals classification., , , , , и . ESANN, (2012)Color Sparse Representations for Image Processing: Review, Models, and Prospects., , и . IEEE Trans. Image Process., 24 (11): 3978-3989 (2015)About QLMS Derivations., , и . IEEE Signal Process. Lett., 21 (2): 240-243 (2014)Sparse blind source separation for partially correlated sources., , , и . ICIP, стр. 6021-6025. IEEE, (2014)NMF with Sparse Regularizations in Transformed Domains., , , и . SIAM J. Imaging Sci., 7 (4): 2020-2047 (2014)A post-nonlinear mixture model approach to binary matrix factorization., , , и . EUSIPCO, стр. 321-325. IEEE, (2017)