Center for Embedded Network Sensing

In this poster, two major strategies for sampling phenomena with high rate of spatiotemporal variation, namely, multiscale sampling and adaptive sampling, are presented. Multiscale sampling is based on the hypothesis that a combination of sparse sensing along with auxiliary multiscale/multimode sensing will yield accuracy approaching exhaustive sampling. Adaptive sampling is a feature based sampling technique. Algorithms and simulation results for both techniques are demonstrated.