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Sampling theory, a renaissance: compressive sensing and other developments
Reconstructing or approximating objects from seemingly incomplete information is a frequent challenge in mathematics, science, and engineering. A multitude of tools designed to recover hidden information are based on Shannon’s classical sampling theorem, a central pillar of Sampling Theory. The grow...
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| Lenguaje: | eng |
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Springer
2015
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| Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-19749-4 http://cds.cern.ch/record/2120263 |