Spatial super-resolution of a diffusion field by temporal oversampling in sensor networks
Spatial super-resolution of a diffusion field by temporal oversampling in sensor networks
We study the spatial-temporal sampling of a linear diffusion field, and show that it is possible to compensate for insufficient spatial sampling densities by oversampling in time. Our work is motivated by the following issue often encountered in sensor network sampling, namely increasing the temporal sampling density is often easier …