Sampling and Reconstruction of Time-Varying Atmospheric Emissions (CROSBI ID 589044)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Ranieri, Juri ; Dokmanić, Ivan ; Chebira, Amina ; Vetterli, Martin
engleski
Sampling and Reconstruction of Time-Varying Atmospheric Emissions
We 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 dispersion; Source estimation; Inverse Problems; Spatio–temporal sampling; Sensor Networks
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Podaci o prilogu
2012.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 37th International Conference on Acoustics, Speech, and Signal Processing
Podaci o skupu
37th International Conference on Acoustics, Speech, and Signal Processing
poster
25.03.2012-30.03.2012
Kyoto, Japan