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Blind identification of a linear-quadratic mixture of independent components based on joint diagonalization procedure., , and . ICASSP, page 2718-2721. IEEE Computer Society, (1996)Contrast Functions for Blind Source Separation Based on Time-Frequency Information-Theory., , , and . ICA, volume 3889 of Lecture Notes in Computer Science, page 876-884. Springer, (2006)Multi-Modulus algorithms using hyperbolic and givens rotations for blind deconvolution of mimo systems., , and . ICASSP, page 2155-2159. IEEE, (2015)Image Denoising in the Transformed Domain Using Non Local Neighborhoods., , and . ICASSP (2), page 869-872. IEEE, (2006)Blind identification of colored signals distorted by FIR channels., , and . ICASSP, page 3124-3127. IEEE, (2000)Adaptive Blind Sparse Source Separation Based on Shear and Givens Rotations., , and . ICASSP, page 4225-4229. IEEE, (2019)General Selection Criteria to Mitigate the Impact of NLoS Errors in RTT Measurements for Mobile Positioning., , and . ICC, page 4674-4679. IEEE, (2007)New blind deflation-based deconvolution algorithms using givens and shear rotations., , and . ICC, page 1-6. IEEE, (2017)On the Use of Time-Frequency Representation in Multicomponent Signal Separation., , and . ICME, page 1057-1060. IEEE Computer Society, (2006)If estimation of multicomponent chirp signal in impulsive α-stable noise environment using parametric and non-parametric approaches., , and . EUSIPCO, page 1793-1796. IEEE, (2004)