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Theoretical and Practical Solutions for High-Order Superdirectivity of Circular Sensor Arrays., , , , , and . IEEE Trans. Ind. Electron., 60 (1): 203-209 (2013)Robust Superdirective Frequency-Invariant Beamforming for Circular Sensor Arrays., , , , and . IEEE Signal Process. Lett., 24 (8): 1193-1197 (2017)Localized Multiple Kernel Learning Via Sample-Wise Alternating Optimization., , , and . IEEE Trans. Cybern., 44 (1): 137-148 (2014)Marine information technology: the best is yet to come., , , , , , and . Frontiers Inf. Technol. Electron. Eng., 19 (8): 947-950 (2018)Matrix-Regularized Multiple Kernel Learning via (r, ~p) Norms., , , , and . IEEE Trans. Neural Networks Learn. Syst., 29 (10): 4997-5007 (2018)On the Impact of Regularization Variation on Localized Multiple Kernel Learning., , , and . IEEE Trans. Neural Networks Learn. Syst., 29 (6): 2625-2630 (2018)A general superdirectivity model for arbitrary sensor arrays., , , , and . EURASIP J. Adv. Signal Process., (2015)A Noise Removal Method for Uniform Circular Arrays in Complex Underwater Noise Environments with Low SNR., , , , and . Sensors, 17 (6): 1345 (2017)Design of FIR beamformer with frequency invariant patterns via jointly optimizing spatial and frequency responses., and . ICASSP (4), page 789-792. IEEE, (2005)Reconstructing the Subsurface Temperature Field by Using Sea Surface Data Through Self-Organizing Map Method., , , and . IEEE Geosci. Remote. Sens. Lett., 15 (12): 1812-1816 (2018)