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.


Published in:
Proceedings of the 37th International Conference on Acoustics, Speech, and Signal Processing, 3673 - 3676
Presented at:
37th International Conference on Acoustics, Speech, and Signal Processing, Kyoto, Japan, March 25-30, 2012
Year:
2012
Publisher:
New York, Ieee
ISBN:
978-1-4673-0046-9
Keywords:
Laboratories:




 Record created 2011-12-24, last modified 2018-03-17

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