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Low cost and efficient kurtosis-based deflationary ICA method: Application to MRS sources separation problem.

, , , , and . EMBC, page 3191-3194. IEEE, (2016)

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Localization of extended brain sources from EEG/MEG: The ExSo-MUSIC approach., , , and . NeuroImage, 56 (1): 102-113 (2011)Independent Component Analysis Based on Non-polynomial Approximation of Negentropy: Application to MRS Source Separation., , , , and . ACSSC, page 2179-2183. IEEE, (2018)Rank estimation and tensor decomposition using physics-driven constraints for brain source localization., , , , , , , and . EUSIPCO, page 1-4. IEEE, (2019)Multiway space-time-wave-vector analysis for source localization and extraction., , , , and . EUSIPCO, page 1349-1353. IEEE, (2010)Reliable gradient search directions for kurtosis-based deflationary ICA: Application to physiological signal processing., , , , and . EMBC, page 2790-2793. IEEE, (2017)A performance study of various brain source imaging approaches., , , , , and . ICASSP, page 5869-5873. IEEE, (2014)The PEP Approach: A New Family of Methods Solving the Phase Estimation Problem., , and . ICASSP (3), page 628-631. IEEE, (2006)Physics-Driven Inverse Problems Made Tractable With Cosparse Regularization., , , and . IEEE Trans. Signal Process., 64 (2): 335-348 (2016)On the behavior of current second order blind source separation methods for first and second order cyclostationary sources-application to CPFSK sources., , and . ICASSP, page 3081-3084. IEEE, (2002)Nonminimum Phase Identification Based on Higher Order Spectrum Slices., , , and . IEEE Trans. Signal Process., 56 (5): 1821-1829 (2008)