30 citations · 119 across the 20 of their papers we have counts for
5 papers · 1 filter
Data-driven Method for 3D Axis-symmetric Object Reconstruction from Single Cone-beam Projection Data
Shousheng Luo, Ruyue Meng, Suhua Wei +3
In this paper we consider 3D axis-symmetric (AS) object reconstruction from single cone-beam x-ray projection data. Traditional x-ray CT fails to capture fleeting state of material…
Phase retrieval for sub-Gaussian measurements
Bing Gao, Haixia Liu, Yang Wang
Generally, phase retrieval problem can be viewed as the reconstruction of a function/signal from only the magnitude of the linear measurements. These measurements can be, for examp…
Almost Everywhere Generalized Phase Retrieval
Meng Huang, Yi Rong, Yang Wang +1
The aim of generalized phase retrieval is to recover from the quadratic measurements , wher…
Multiscale High-Dimensional Sparse Fourier Algorithms for Noisy Data
Bosu Choi, Andrew Christlieb, Yang Wang
We develop an efficient and robust high-dimensional sparse Fourier algorithm for noisy samples. Earlier in the paper ``Multi-dimensional sublinear sparse Fourier algorithm" (2016),…
Perturbed Amplitude Flow for Phase Retrieval
Bing Gao, Xinwei Sun, Yang Wang +1
In this paper, we propose a new non-convex algorithm for solving the phase retrieval problem, i.e., the reconstruction of a signal $ \vx\in\H^n $ ( or $\C$) from phaseless s…