The restricted isometry property of subsampled Fourier matrices

I Haviv, O Regev - Geometric Aspects of Functional Analysis: Israel …, 2017 - Springer
Abstract A matrix A ∈ C^ q * N satisfies the restricted isometry property of order k with
constant ε if it preserves the ℓ 2 norm of all k-sparse vectors up to a factor of 1±ε. We prove …

A sparse Kaczmarz solver and a linearized Bregman method for online compressed sensing

DA Lorenz, S Wenger, F Schöpfer… - 2014 IEEE international …, 2014 - ieeexplore.ieee.org
An algorithmic framework to compute sparse or minimal-TV solutions of linear systems is
proposed. The framework includes both the Kaczmarz method and the linearized Bregman …

Sampling the Fourier transform along radial lines

C Dossal, V Duval, C Poon - SIAM Journal on Numerical Analysis, 2017 - SIAM
This article considers the use of total variation minimization for the recovery of a
superposition of point sources from samples of its Fourier transform along radial lines. We …

Compressive sensing using iterative hard thresholding with low precision data representation: Theory and applications

NM Gürel, K Kara, A Stojanov, T Smith… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Modern scientific instruments produce vast amounts of data, which can overwhelm the
processing ability of computer systems. Lossy compression of data is an intriguing solution …

[PDF][PDF] A sparse reconstruction algorithm for multi-frequency radio images

S Wenger, M Magnor - … Graphics Lab, TU Braunschweig, Tech. Rep, 2014 - cg.cs.tu-bs.de
In radio interferometry, every pair of antennas in an array defines one sampling point in the
Fourier domain of the sky image. By combining information from different wavelengths …

基于改进空间频率域采样的天文光干涉望远镜阵列优化

孙长胜, 朱永田, 胡中文, 徐腾, 吴桢 - 2017 - ir.niaot.ac.cn
提出一种基于改进空间频率域(UV) 采样的阵列评价函数, 用于长基线天文光干涉望远镜阵列
几何结构的优化. 该评价函数将UV 采样区域沿径向和角度方向分别进行划分 …

A group sparsity imaging algorithm for transient radio sources

S Wenger, U Rau, M Magnor - Astronomy and Computing, 2013 - Elsevier
Radio interferometers can achieve high spatial resolution for temporally constant sources by
combining data observed over long periods of time. Recent imaging algorithms reconstruct …

Advancing Cost Efficiency and Robustness of Machine Learning through the Lens of Data

NM Gürel - 2022 - research-collection.ethz.ch
ML systems contend with an ever-growing processing load of physical world data. These
systems are required to deliver high-quality learning and decision-making often constrained …

[PDF][PDF] Regularized Optimization Methods for Reconstruction and Modeling in Computer Graphics

S Wenger - 2014 - d-nb.info
The field of computer graphics deals with virtual representations of the real world. These can
be obtained either through reconstruction of a model from measurements, or by directly …

Heliograph imaging based on total variation constraint and nonlocal operator

SZ Wang, LY Xu, Y Wang, XP Zhang - Journal of Spectroscopy, 2014 - Wiley Online Library
Heliograph imaging is the process to reconstruct the solar image from sparse frequency
domain data, and compressed sensing (CS) algorithm has shown potential power to …