Computer Science – Information Theory
Scientific paper
2012-02-05
Computer Science
Information Theory
Scientific paper
In this paper we consider the problem of locating a nonzero entry in a high-dimensional vector from possibly adaptive linear measurements. We consider a recursive bisection method which we dub the compressive binary search and show that it improves on what any nonadaptive method can achieve. We establish a non-asymptotic bound that applies to all methods, regardless of their computational complexity. Combined, these results show that the compressive binary search is within a double logarithmic factor of the optimal performance.
Arias-Castro Ery
Davenport Mark A.
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