Hurwitz Memorial Lecture Series

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2014 Hurwitz Lecture 2: Recent Advances in Compressed Sensinng

Vidyasagar Mathukumalli

01:08:33

16.05.2014


Compressed sensing refers to the exact or approximate recovery of very high-dimensional but sparse vectors from a small number of possibly measuremnts. A recent concept is that of "nearly ideal behavior," whereby the estimation error of an algorithm is bounded by a universal constant times the error achievable by an "oracle" that knows the locations of the nonzero components of the vector to be determined. In this talk I will review the basic and well-known results and some recent results, and present some new results that provide a framework for constructing algorithms with near-ideal behavior.


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28.07.2017
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