Ranieri, JuriDokmanic, IvanChebira, AminaVetterli, Martin2011-12-242011-12-242011-12-24201210.1109/ICASSP.2012.6288713https://infoscience.epfl.ch/handle/20.500.14299/76048WOS:000312381403186We study the spatio-temporal sampling of physical fields representing the dispersion of a substance in the atmosphere. We consider the following setup: N sensors are deployed at ground level and measure the concentration of a particular substance, while M smokestacks are located in the same area and emit a time-varying amount of the substance. To recover the emission rates of the smokestacks with a limited number of spatio-temporal samples, we consider time varying emissions rates lying in two specific low-dimensional subspaces. We propose efficient algorithms and sufficient conditions to recover the emission rates of the smokestacks from the local measurements collected by the sensor network.Atmospheric dispersionSource estimationInverse ProblemsSpatio–temporal samplingSensor NetworksNCCR-MICSNCCR-MICS/EMSPtext::conference output::conference proceedings::conference paper