Endogenous Sparse Recovery
Sparsity has proven to be an essential ingredient in the development of efficient solutions to a number of problems in signal processing and machine learning. In all of these settings, sparse recovery methods are employed to recover signals that admit sparse representations in a pre-specified basis....
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| Format: | Others |
| Language: | English |
| Published: |
2013
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| Online Access: | http://hdl.handle.net/1911/70235 |