Compressive Sensing for Inverse Scattering
Compressive sensing is a new field in signal processing and applied mathematics. It allows one to simultaneously sample and compress signals which are known to have a sparse representation in a known basis or dictionary along with the subsequent recovery by linear programming (requiring polynomial (...
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| Main Author: | |
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| Other Authors: | , , , , |
| Format: | article |
| Language: | English |
| Published: |
2008
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| Subjects: | |
| Online Access: | http://ridda2.utp.ac.pa/handle/123456789/2413 |
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| Summary: | Compressive sensing is a new field in signal processing and applied mathematics. It allows one to simultaneously sample and compress signals which are known to have a sparse representation in a known basis or dictionary along with the subsequent recovery by linear programming (requiring polynomial (P) time) of the original signals with low or no error [1–3]. Compressive measurements or samples are non-adaptive, possibly random linear projections |
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