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- W4298286568 abstract "We improve a phase retrieval approach that uses correlation-based measurements with compactly supported measurement masks [27]. The improved algorithm admits deterministic measurement constructions together with a robust, fast recovery algorithm that consists of solving a system of linear equations in a lifted space, followed by finding an eigenvector (e.g., via an inverse power iteration). Theoretical reconstruction error guarantees from [27] are improved as a result for the new and more robust reconstruction approach proposed herein. Numerical experiments demonstrate robustness and computational efficiency that outperforms competing approaches on large problems. Finally, we show that this approach also trivially extends to phase retrieval problems based on windowed Fourier measurements." @default.
- W4298286568 created "2022-10-01" @default.
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- W4298286568 date "2016-12-04" @default.
- W4298286568 modified "2023-09-30" @default.
- W4298286568 title "Phase Retrieval from Local Measurements: Improved Robustness via Eigenvector-Based Angular Synchronization" @default.
- W4298286568 doi "https://doi.org/10.48550/arxiv.1612.01182" @default.
- W4298286568 hasPublicationYear "2016" @default.
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