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This two-part paper considers the coordination of a population of thermostatically controlled loads (TCLs) with unknown parameters to achieve group objectives. The problem involves designing the bidding and market clearing strategy to motivate self-interested users to realize efficient energy allocation subject to a peak energy constraint. The companion paper (Part I) formulates the problem and proposes...
Many image inpainiting (IMIN) algorithms have been developed to restore corrupted images in last decades. However, traditional IMIN algorithms do not learn the sparse structure of the corrupted images. Hence, it is very hard to renovate the images accurately. In contrast to the conventional algorithms, compressive sensing based IMIN algorithms can remove strong noise as well as can restore images...
The mixels in the hyperspectral images directly influence the accuracy of target recognition. The ICE algorithm doesn't extract the endmembers based on the hypothesis of the pure pixels' existence, and gets good performance in the spectral unmixing application. After analyzing the theory of the the ICE algorithm and nonnegative matrix factorization, the method of hyperspectral image unmixing via endmembers'...
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