30 citations · 119 across the 20 of their papers we have counts for
9 papers · 1 filter
Overlapping Domain Decomposition Methods for Ptychographic Imaging
Huibin Chang, Roland Glowinski, Stefano Marchesini +3
In ptychography experiments, redundant scanning is usually required to guarantee the stable recovery, such that a huge amount of frames are generated, and thus it poses a great dem…
Convex Shape Representation with Binary Labels for Image Segmentation: Models and Fast Algorithms
Shousheng Luo, Xue-Cheng Tai, Yang Wang
We present a novel and effective binary representation for convex shapes. We show the equivalence between the shape convexity and some properties of the associated indicator functi…
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…
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…
High-Dimensional Sparse Fourier Algorithms
Bosu Choi, Andrew Christlieb, Yang Wang
In this paper, we discuss the development of a sublinear sparse Fourier algorithm for high-dimensional data. In ``Adaptive Sublinear Time Fourier Algorithm" by D. Lawlor, Y. Wang a…
Robust Sparse Phase Retrieval Made Easy
Mark Iwen, Aditya Viswanathan, Yang Wang
In this short note we propose a simple two-stage sparse phase retrieval strategy that uses a near-optimal number of measurements, and is both computationally efficient and robust t…
Applying the Regularization Parameter Estimator by Downsampling Through Relations with The Singular Value Expansion
Rosemary A. Renaut, Michael Horst, Yang Wang +2
The solution, , of the linear system of equations arising from the discretization of an ill-posed integral equation with a square integrable kernel is co…
The Performance of PCM Quantization Under Tight Frame Representations
Yang Wang, Zhiqiang Xu
In this paper, we study the performance of the PCM scheme with linear quantization rule for quantizing finite unit-norm tight frame expansions for and derive the PCM quantiz…