Signal-Recovery Methods for Compressive Sensing Using Nonconvex Sparsity-Promoting Functions
Recent research has shown that compressible signals can be recovered from a very limited number of measurements by minimizing nonconvex functions that closely resemble the L0-norm function. These functions have sparse minimizers and, therefore, are called sparsity-promoting functions (SPFs). Recover...
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| Language: | English en |
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2014
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| Online Access: | http://hdl.handle.net/1828/5823 |