ACM Transactions on Algorithms (TALG): Volume 13 Issue 3, August 2017
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An approximate sparse recovery system in ℓ 1 norm consists of parameters k , ε, N ; an m -by- N measurement Φ; and a recovery algorithm R . Given a vector, x , the system approximates x by &xwidehat; = R (Φ x ), which must satisfy ‖ &xwidehat;- ...
Compressive sensing, list decoding, sparse recovery