Compressed sensing algorithms for electromagnetic imaging applications
Compressed Sensing (CS) theory is a novel signal processing paradigm, which states that sparse signals of interest can be accurately recovered from a small set of linear measurements using efficient L1-norm minimization techniques. CS theory has been successfully applied to many sensing applications...
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| Online Access: | http://hdl.handle.net/2047/D20238457 |