Convex optimization for generalized sparse recovery
The past decade has witnessed the emergence of compressed sensing as a way of acquiring sparsely representable signals in a compressed form. These developments have greatly motivated research in sparse signal recovery, which lies at the heart of compressed sensing, and which has recently found its u...
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| Language: | English |
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University of British Columbia
2009
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| Online Access: | http://hdl.handle.net/2429/16646 |