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In the undersampled phase retrieval problem, the goal is to recover an $N$-dimensional complex signal $\mathbf{x}$ from only $M<N$ noisy intensity measurements without phase information.
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2013
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2014
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2015
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2016
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V. Voroninski and Z. Xu, “A strong restricted isometry property, with an application to phaseless compressed sensing,” Applied and Computational Harmonic Analysis , vol. 40, no. 2, pp. 386–395, 2016. [Online]. Available: http://www.sciencedirect.com/science/article/pii/S1063520315000901
2016
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2016
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Y. Sun, P. Babu, and D. P. Palomar, “Majorization-minimization algorithms in signal processing, communications, and machine learning,” IEEE Transactions on Signal Processing , 2016
2016
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M. Hong, M. Razaviyayn, Z. Q. Luo, and J. S. Pang, “A unified algorithmic framework for block-structured optimization involving big data: With applications in machine learning and signal processing,” IEEE Signal Processing Magazine , vol. 33, no. 1, pp. 57–77, Jan 2016
2016
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