Recovery error bounds on compressed sensing of noisy signals
Compressed sensing is an emerging technique in the field of digital signal acquisition. It promises almost exact recovery of high-dimensional signals from a very small set of measurements. However, this technique is challenged by the task of recovering signals immersed in noise. In this paper, we de...
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| Main Authors: | , |
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| Format: | Article |
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John Wiley and Sons Ltd.
2015
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/55231/ http://dx.doi.org/10.1002/dac.2686 |
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