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SUMMARY:On Resolution\, Sparse Signal Recovery\, and Random Access Communi
 cation  
DTSTART:20090617T141500
DTSTAMP:20260609T092529Z
UID:460a793074b4c2f3cc470888d063c465704e7cf9bd6742f9fef8e029
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Vivek Goyal\, MIT\nResolution of a data acquisition syst
 em is usually thought to be determined completely by sensing properties\, 
 such as density and accuracy of measurements. This talk advocates the view
  that resolution is\, in addition\, dependent on signal modeling and the c
 omplexity of computations allowed. This view is developed concretely for t
 he acquisition of sparse signals\, where the asymptotic relationship betwe
 en resolution and the number of measurements is studied for algorithms wit
 h various complexities. The sparse signal recovery problem corresponds per
 fectly to a model of random multiple access communication in which the tas
 k of the receiver is to determine only the subset of the users that transm
 itted. This connection gives insight on the performance of single- and mul
 ti-user detection algorithms. Specifically\, all known practical multiuser
  detection techniques become interference limited at high SNR. However\, p
 ower control is natural in the multiple access setting\, and we are able t
 o prove that a simple detection algorithm based on orthogonal matching pur
 suit is not interference limited under optimal power control. The talk is 
 based on joint work with Alyson Fletcher and Sundeep Rangan.\nProf. Goyal'
 s homepage
LOCATION:BC 01 https://plan.epfl.ch/?room==BC%2001
STATUS:CONFIRMED
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