Robust sparse phase retrieval made easy |
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| Authors: | Mark Iwen Aditya Viswanathan Yang Wang |
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| Affiliation: | 1. Department of Mathematics and Department of ECE, Michigan State University, United States;2. Department of Mathematics, Michigan State University, United States;3. Department of Mathematics, The Hong Kong University of Science and Technology, Hong Kong |
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| Abstract: | In this short note we propose a simple two-stage sparse phase retrieval strategy that uses a near-optimal number of measurements, and is both computationally efficient and robust to measurement noise. In addition, the proposed strategy is fairly general, allowing for a large number of new measurement constructions and recovery algorithms to be designed with minimal effort. |
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| Keywords: | Corresponding author. |
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