Browse College of Engineering by Subject "l1-minimization"

  • Wright, John; Ma, Yi (Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, 2008-07)
    In this paper, we study the problem of recovering a sparse signal x 2 Rn from highly corrupted linear measurements y = Ax+e 2 Rm, where e is an unknown error vector whose nonzero entries could be unbounded. Motivated by ...

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  • Nguyen, Nam (2011-05-25)
    Source localization is ubiquitous in nature. It is a survival skill in many species to help them find food, avoid predators, or navigate. For example, blind cave fish use their lateral lines to swim in dark water by sensing ...

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