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Compressed sensing for phase retrieval
Title: | Compressed sensing for phase retrieval |
Authors: | Newton, Marcus C. Browse this author →KAKEN DB |
Issue Date: | May-2012 |
Publisher: | American Physical Society |
Journal Title: | Physical Review E |
Volume: | 85 |
Issue: | 5 |
Start Page: | 056706 |
Publisher DOI: | 10.1103/PhysRevE.85.056706 |
Abstract: | 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 ℓ1-norm minimization. Here the application of compressed sensing to phase retrieval in a nonconvex setting is reported. An algorithm is presented that applies reweighted ℓ1-norm minimization to yield accurate reconstruction where conventional methods fail. |
Rights: | ©2012 American Physical Society |
Type: | article |
URI: | http://hdl.handle.net/2115/49430 |
Appears in Collections: | 電子科学研究所 (Research Institute for Electronic Science) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: Newton Marcus Christian
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