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A New Approach of Exploiting Self-Adjoint Matrix Polynomials of Large Random Matrices for Anomaly Detection and Fault Location.

, , , and . IEEE Trans. Big Data, 7 (3): 548-558 (2021)

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Experimental demonstration of cognitive radar for target localization under strong interference., , , and . MILCOM, page 1-6. IEEE, (2012)Computationally Efficient Spectrum Sensing With Nyström Feature Template Matching., , and . IEEE Communications Letters, 19 (11): 1921-1924 (2015)Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning., , , and . CoRR, (2018)Massive MIMO testbed - Implementation and Initial Results in System Model Validation., and . CoRR, (2015)Modified Orthogonal Matching Pursuit Algorithm for Cognitive Radio Wideband Spectrum Sensing, and . CoRR, (2011)A Survey on Nonconvex Regularization-Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning., , , and . IEEE Access, (2018)Spectrum Sensing With Small-Sized Data Sets in Cognitive Radio: Algorithms and Analysis., , and . IEEE Trans. Vehicular Technology, 64 (1): 77-87 (2015)Spectrum Concentration in Deep Residual Learning: A Free Probability Approach., and . IEEE Access, (2019)A combination of quickest detection with oracle approximating shrinkage estimation and its application to spectrum sensing in cognitive radio., , , and . MILCOM, page 1-6. IEEE, (2012)Error performance of pulse-based ultra-wideband MIMO systems over indoor wireless channels., , and . IEEE Trans. Wirel. Commun., 4 (6): 2939-2944 (2005)