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On the impact of signals time-frequency sparsity on the localization performance., , , , и . EUSIPCO, стр. 1941-1945. IEEE, (2016)Adaptive Constant Modulus Algorithm based oncomplex Givens rotations., , , и . SSP, стр. 165-168. IEEE, (2014)Separation of Dependent Autoregressive Sources Using Joint Matrix Diagonalization., , , и . IEEE Signal Process. Lett., 22 (8): 1180-1183 (2015)Improved order-statistics-based noise power estimator., , , и . Signal Process., (2019)Sparsity-based algorithms for blind separation of convolutive mixtures with application to EMG signals., , , , и . SSP, стр. 189-192. IEEE, (2014)Informed separation of dependent sources using joint matrix decomposition., , , и . EUSIPCO, стр. 1945-1949. IEEE, (2014)Sliding window adaptive Constant Modulus Algorithm based on complex Hyperbolic Givens rotations., , , и . EUSIPCO, стр. 1-5. IEEE, (2013)A new methodology for optimal delay detection in mobile localization context., , , и . ICASSP, стр. 6357-6361. IEEE, (2013)Minimum error rate detection: An adaptive bayesian approach., , , и . Signal Process., (2017)Constant modulus algorithms using hyperbolic Givens rotations., , , , и . Signal Process., (2014)