Compressive sensing reconstruction algorithms using partially correct signal information
Compressive Sensing (CS) ensures the reconstruction of a sparse signal from a set of linear measurements that are fewer compared to the signal length. The sparse signal can be reconstructed using a convex relaxation algorithm such as Basis Pursuit (BP) or a Greedy Pursuit (GP) such as Backtrackin...
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| Format: | Theses and Dissertations |
| Language: | English |
| Published: |
2017
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| Online Access: | http://hdl.handle.net/10356/69572 |
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| Institution: | Nanyang Technological University |
| Language: | English |