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Phasor measurement units (PMUs) are instrumental for grid monitoring thanks to high sampling rates and precise synchronization. However, collecting and analyzing the PMU data are challenging due to the large volume, computational burden, and missing measurements. In this work, a robust subspace clustering model is adopted to perform reconstruction of missing measurements while simultaneously detecting...
Spectrum sensing algorithms for cognitive radios that can interpolate and predict the spatio-temporal interference power distribution are proposed using the dictionary learning framework. The algorithms jointly estimate the dictionaries to capture the spatial spectrum measurements as well as their temporal dynamics via parsimoniously chosen atoms. Both batch and efficient online implementations are...
Nonnegative matrix tri-factorization (NMTF) X ≈ FSGT with all matrices nonnegative can reveal simultaneous row and column clusters of X, as well as the associations among the two. In this work, a sparsity-promoting variant is proposed and a simple multiplicative algorithm is developed. The resulting sparse NMTF is further robustified to cope with presence of outliers in the data. A synthetic example...
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