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Weaving Phase Retrieval and Weaving Norm Retrieval
International Journal of Applied and Computational Mathematics, 2022Suman Dowerah, Saikat Mukherjee
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Optics Communications, 1989
A new algorithm is given for inverting an autocorrelation function R = R1,…,Rn for its inputs a. The autocorrelation of a function a may be regarded as the cross correlation between two functions b and a, where b = a. This is made the basis for a cyclic algorithm. In the cross-correlation operation b ⊗ a, make b a numerical guess at a, and leave a as a
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A new algorithm is given for inverting an autocorrelation function R = R1,…,Rn for its inputs a. The autocorrelation of a function a may be regarded as the cross correlation between two functions b and a, where b = a. This is made the basis for a cyclic algorithm. In the cross-correlation operation b ⊗ a, make b a numerical guess at a, and leave a as a
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2017
Phase retrieval and phaseless reconstruction for Hilbert space frames is a very active area of research. Recently, it was shown that these concepts are equivalent. In this paper, we make a detailed study of a weakening of these concepts to weak phase retrieval and weak phaseless reconstruction.
Sara Botelho-Andrade +4 more
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Phase retrieval and phaseless reconstruction for Hilbert space frames is a very active area of research. Recently, it was shown that these concepts are equivalent. In this paper, we make a detailed study of a weakening of these concepts to weak phase retrieval and weak phaseless reconstruction.
Sara Botelho-Andrade +4 more
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Phase Retrieval and Magnitude Retrieval of Entire Functions
Journal of Fourier Analysis and Applications, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Super-Resolution Phase Retrieval Network for Single-Pattern Structured Light 3D Imaging
IEEE Transactions on Image Processing, 2023Jianwen Song, Kai Liu, Arcot Sowmya
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Phase Retrieval with Application to Optical Imaging: A contemporary overview
IEEE Signal Processing Magazine, 2015Yoav Shechtman +2 more
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