Compressed Sensing Reconstruction Using Structural Dependency Models
Compressed sensing (CS) theory has demonstrated that sparse signals can be reconstructed from far fewer measurements than suggested by the Nyquist sampling theory. CS has received great attention recently as an alternative to the current paradigm of sampling followed by compression. Initial CS opera...
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| Language: | en |
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The University of Arizona.
2012
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| Online Access: | http://hdl.handle.net/10150/238613 |