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* **__Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections__** * | * **__Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections__** * | ||
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Compared to the well known Nyquist-Shannon sampling theorem, which allows a signal to be accurately reconstructed only if there are twice more measurements available than the sampling rate at which the signal was acquired, compressive sensing (CS) has been advocated as a sparsity promoting approach, able to obtain accurate reconstructions from a few linear, but random and non-adaptive measurements. | Compared to the well known Nyquist-Shannon sampling theorem, which allows a signal to be accurately reconstructed only if there are twice more measurements available than the sampling rate at which the signal was acquired, compressive sensing (CS) has been advocated as a sparsity promoting approach, able to obtain accurate reconstructions from a few linear, but random and non-adaptive measurements. | ||
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** Publication:** | ** Publication:** | ||
[IPABIB,Denitiu2014] | [IPABIB,Denitiu2014] |