Sparse Signal Recovery from Fixed Low-Rank Subspace via Compressive Measurement
نویسندگان
چکیده
منابع مشابه
Sparse Signal Recovery from Fixed Low-Rank Subspace via Compressive Measurement
This paper designs and evaluates a variant of CoSaMP algorithm, for recovering the sparse signal s from the compressive measurement ( ) v Uw s given a fixed lowrank subspace spanned by U. Instead of firstly recovering the full vector then separating the sparse part from the structured dense part, the proposed algorithm directly works on the compressive measurement to do the separation. We i...
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ژورنال
عنوان ژورنال: Algorithms
سال: 2013
ISSN: 1999-4893
DOI: 10.3390/a6040871