Compressed sensing for phase retrieval

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Compressed sensing for phase retrieval.

To date there are several iterative techniques that enjoy moderate success when reconstructing phase information, where only intensity measurements are made. There remains, however, a number of cases in which conventional approaches are unsuccessful. In the last decade, the theory of compressed sensing has emerged and provides a route to solving convex optimisation problems exactly via ℓ(1)-nor...

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frames for compressed sensing using coherence

we give some new results on sparse signal recovery in the presence of noise, forweighted spaces. traditionally, were used dictionaries that have the norm equal to 1, but, forrandom dictionaries this condition is rarely satis ed. moreover, we give better estimationsthen the ones given recently by cai, wang and xu.

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ژورنال

عنوان ژورنال: Physical Review E

سال: 2012

ISSN: 1539-3755,1550-2376

DOI: 10.1103/physreve.85.056706