30 citations · 63 across the 9 of their papers we have counts for
6 papers · 1 filter
Are there needles in a moving haystack? Adaptive sensing for detection of dynamically evolving signals
Rui M. Castro, Ervin Tánczos
In this paper we investigate the problem of detecting dynamically evolving signals. We model the signal as an dimensional vector that is either zero or has non-zero compone…
Adaptive Compressed Sensing for Support Recovery of Structured Sparse Sets
Rui M. Castro, Ervin Tánczos
This paper investigates the problem of recovering the support of structured signals via adaptive compressive sensing. We examine several classes of structured support sets, and cha…
Adaptive Sensing for Estimation of Structured Sparse Signals
Ervin Tánczos, Rui M. Castro
In many practical settings one can sequentially and adaptively guide the collection of future data, based on information extracted from data collected previously. These sequential…
Detection of Correlations with Adaptive Sensing
Rui M. Castro, Gabor Lugosi, Pierre-André Savalle
The problem of detecting correlations from samples of a high-dimensional Gaussian vector has recently received a lot of attention. In most existing work, detection procedures are p…
Adaptive sensing performance lower bounds for sparse signal detection and support estimation
Rui M. Castro
This paper gives a precise characterization of the fundamental limits of adaptive sensing for diverse estimation and testing problems concerning sparse signals. We consider in part…
Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation
Jarvis Haupt, Rui Castro, Robert Nowak
Adaptive sampling results in dramatic improvements in the recovery of sparse signals in white Gaussian noise. A sequential adaptive sampling-and-refinement procedure called Distill…