Compressive sampling (CoSa) is a new paradigm for developing data sampling technologies. The main computational challenge in CoSa is to reconstruct a compressible signal from the reduced representation acquired by the sampling device.
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Home → Magazine Archive → December 2010 (Vol. 53, No. 12) → CoSaMP: Iterative Signal Recovery From Incomplete... → Abstract
CoSaMP: Iterative Signal Recovery From Incomplete and Inaccurate Samples
By Deanna Needell, Joel A. Tropp
Communications of the ACM,
Vol. 53 No. 12, Pages 93-100
10.1145/1859204.1859229
![[article image]](https://cacm.acm.org/system/assets/0000/4279/112010_Freedesktop_CoSamp1.large.jpg?1476779422&1290183378 "mathematical symbols")
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