http://www.cloud-conf.net/ispa2024/ Web29 mrt. 2009 · In recent work, we studied the problem of causally reconstructing time sequences of spatially sparse signals, with unknown and slow time-varying sparsity patterns, from a limited number of linear "incoherent" measurements. We proposed a solution called Kalman Filtered Compressed Sensing (KF-CS). The key idea is to run a reduced order …
Contract-Based Demand Response Model for High Performance …
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Deblina Sarkar - Assistant Professor at MIT, Chair Professor at …
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