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Phase Retrieval from 1D Fourier Measurements: Convexity, Uniqueness, and Algorithms
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Phase Retrieval from 1D Fourier Measurements: Convexity, Uniqueness, and Algorithms

Kejun Huang
Yonina C. Eldar
N. Sidiropoulos
ArXiv (abs)PDFHTML

Papers citing "Phase Retrieval from 1D Fourier Measurements: Convexity, Uniqueness, and Algorithms"

6 / 6 papers shown
Title
Convex Augmentation for Total Variation Based Phase Retrieval
Convex Augmentation for Total Variation Based Phase Retrieval
Jian-qiang Niu
Hok Shing Wong
T. Zeng
59
0
0
21 Apr 2022
Robust Wirtinger Flow for Phase Retrieval with Arbitrary Corruption
Robust Wirtinger Flow for Phase Retrieval with Arbitrary Corruption
Jinghui Chen
Lingxiao Wang
Xiao Zhang
Quanquan Gu
46
22
0
20 Apr 2017
Sampling Without Time: Recovering Echoes of Light via Temporal Phase Retrieval
Sampling Without Time: Recovering Echoes of Light via Temporal Phase Retrieval
Ayush Bhandari
A. Bourquard
Ramesh Raskar
10
2
0
27 Jan 2017
Solving Large-scale Systems of Random Quadratic Equations via Stochastic Truncated Amplitude Flow
Solving Large-scale Systems of Random Quadratic Equations via Stochastic Truncated Amplitude Flow
G. Wang
G. Giannakis
Jie Chen
77
43
0
29 Oct 2016
Tensor Decomposition for Signal Processing and Machine Learning
Tensor Decomposition for Signal Processing and Machine Learning
N. Sidiropoulos
L. De Lathauwer
Xiao Fu
Kejun Huang
Evangelos E. Papalexakis
Christos Faloutsos
184
1,367
0
06 Jul 2016
Solving Systems of Random Quadratic Equations via Truncated Amplitude Flow
Solving Systems of Random Quadratic Equations via Truncated Amplitude Flow
G. Wang
G. Giannakis
Yonina C. Eldar
140
363
0
26 May 2016

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