Graph Signal Reconstruction Techniques for IoT Air Pollution Monitoring Platforms. (arXiv:2201.00378v4 [eess.SP] UPDATED)

Air pollution monitoring platforms play a very important role in preventing
and mitigating the effects of pollution. Recent advances in the field of graph
signal processing have made it possible to describe and analyze air pollution
monitoring networks using graphs. One of the main applications is the
reconstruction of the measured signal in a graph using a subset of sensors.
Reconstructing the signal using information from sensor neighbors can help
improve the quality of network data, examples are filling in …

arxiv graph iot monitoring platforms pollution signal