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cs.CV2018
Are good local minima wide in sparse recovery?
Michael Moeller, Otmar Loffeld, Juergen Gall +1
The idea of compressed sensing is to exploit representations in suitable (overcomplete) dictionaries that allow to recover signals far beyond the Nyquist rate provided that they ad…
cs.CV2012
Stable and robust sampling strategies for compressive imaging
Felix Krahmer, Rachel Ward
In many signal processing applications, one wishes to acquire images that are sparse in transform domains such as spatial finite differences or wavelets using frequency domain samp…