Sparse Phase Retrieval of One-Dimensional Signals by Prony's Method
Author:
Funder
Austrian Science Fund
Deutsche Forschungsgemeinschaft
Publisher
Frontiers Media SA
Subject
Applied Mathematics,Statistics and Probability
Reference31 articles.
1. Phase retrieval with application to optical imaging: a contemporary overview;Shechtman;IEEE Signal Process Magaz.,2015
2. Ambiguities in one-dimensional discrete phase retrieval from Fourier magnitudes;Beinert;J Fourier Anal Appl.,2015
3. Enforcing uniqueness in one-dimensional phase retrieval by additional signal information in time domain;Beinert;Appl Comput Harm Anal.,2017
4. Non-negativity constraints in the one-dimensional discrete-time phase retrieval problem;Beinert;Inform Infer.,2017
5. One-dimensional phase retrieval with additional interference measurements; 2017;Beinert;Results Math.,2017
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1. Prony-Based Super-Resolution Phase Retrieval of Sparse, Multidimensional Signals;Lecture Notes in Computer Science;2023
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