Neelakandan Rajamohan

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We consider the problem of jointly recovering block sparse signals that share the same support set, using multiple measurement vectors (MMVs). We consider the generalized MMV (GMMV) model wherein the different measurement vectors could have been obtained by using different sensing matrices. We study greedy- and convex-programming-based recovery algorithms(More)
Base stations (BS) in a cellular network send unique synchronization signals based on their physical layer cell-identity, in every frame. To synchronize with a BS, a mobile terminal (MT) needs to identify the following synchronization parameters-starting time of the frame, relative frequency offset and the cell-identity of the corresponding BS. In a(More)
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