3 accepted papers
In multichannel sequential change detection, multiple sensors monitor a system in which an abrupt change occurs at some unknown time and is perceived by an unknown subset of sensors. The goal is to detect this change quickly, while controlling the rate of false alarms. In the traditional asymptotic…
In this paper, we study the rate of decay of the probability of error for distinguishing between a sparse signal with noise, modeled as a sparse mixture, from pure noise. This problem has many applications in signal processing, evolutionary biology, bioinformatics, astrophysics and feature selection…
Sampling-based algorithms provide efficient solutions to high-dimensional, geometrically complex motion planning problems. For these methods asymptotic results are known in terms of completeness and optimality. Previous work by the authors argued that such methods also provide probabilistic near-opt…