Sparse Recovery With Block Multiple Measurement Vectors Algorithm
نویسندگان
چکیده
منابع مشابه
Exploiting Correlation in Sparse Signal Recovery Problems: Multiple Measurement Vectors, Block Sparsity, and Time-Varying Sparsity
A trend in compressed sensing (CS) is to exploit structure for improved reconstruction performance. In the basic CS model (i.e. the single measurement vector model), exploiting the clustering structure among nonzero elements in the solution vector has drawn much attention, and many algorithms have been proposed such as group Lasso (Yuan & Lin, 2006). However, few algorithms explicitly consider ...
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2019
ISSN: 2169-3536
DOI: 10.1109/access.2019.2891568