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The existence of a correlation between observed radio spectral index (alpha) and redshift (z) has long been used as a method for locating high-z radio galaxies. We use 9 highly spectroscopically complete radio samples, selected at different…

宇宙学与河外天体物理 · 物理学 2015-06-03 L. M. Ker , P. N. Best , E. E. Rigby , H. J. A. Röttgering , M. A. Gendre

Rayleigh's criterion for resolving two incoherent point sources has been the most influential measure of optical imaging resolution for over a century. In the context of statistical image processing, violation of the criterion is especially…

量子物理 · 物理学 2016-09-07 Mankei Tsang , Ranjith Nair , Xiao-Ming Lu

A new sampling method for inverse scattering problems is proposed to process far field data of one incident wave. As the linear sampling method, the method sets up ill-posed integral equations and uses the (approximate) solutions to…

偏微分方程分析 · 数学 2018-08-01 Juan Liu , Jiguang Sun

This paper develops a mathematical theory of super-resolution. Broadly speaking, super-resolution is the problem of recovering the fine details of an object---the high end of its spectrum---from coarse scale information only---from samples…

信息论 · 计算机科学 2012-11-15 Emmanuel Candes , Carlos Fernandez-Granda

Recovery of the sparsity pattern (or support) of an unknown sparse vector from a small number of noisy linear measurements is an important problem in compressed sensing. In this paper, the high-dimensional setting is considered. It is shown…

信息论 · 计算机科学 2013-02-06 Galen Reeves , Michael Gastpar

Radio source detection through conventional algorithms has been unreliable when trying to solve for large number of sources in the presence of low SINR and less number of snapshots. We address this by reformulating source detection as a…

信号处理 · 电气工程与系统科学 2023-02-02 Jayakrishnan Vijayamohanan , Arjun Gupta , Oameed Noakoasteen , Sotirios Goudos , Christos Christodoulou

In tracking of time-varying low-rank models of time-varying matrices, we present a method robust to both uniformly-distributed measurement noise and arbitrarily-distributed ``sparse'' noise. In theory, we bound the tracking error. In…

最优化与控制 · 数学 2020-02-05 Albert Akhriev , Jakub Marecek , Andrea Simonetto

In this paper, the joint support recovery of several sparse signals whose supports present similarities is examined. Each sparse signal is acquired using the same noisy linear measurement process, which returns fewer observations than the…

信息论 · 计算机科学 2017-02-20 Jean-François Determe , Jérôme Louveaux , Laurent Jacques , François Horlin

Attosecond transient absorption spectroscopy (ATAS) is used to observe photoexcited dynamics with outstanding time resolution. The main experimental challenge of this technique is that high-harmonic generation sources show significant…

The morphologies of wide-angle tailed (WAT) radio sources (edge-darkened, C-shaped, FR I radio sources) are the result of confinement and distortion of the radio lobes by the dense X-ray-emitting gas in clusters or groups of galaxies. These…

天体物理学 · 物理学 2007-05-23 E. L. Blanton , M. D. Gregg , D. J. Helfand , R. H. Becker , R. L. White

We consider the problem of direction finding using partly calibrated arrays, a distributed subarray with position errors between subarrays. The key challenge is to enhance angular resolution in the presence of position errors. To achieve…

信号处理 · 电气工程与系统科学 2022-12-12 Guangbin Zhang , Tianyao Huang , Yimin Liu , Xiqin Wang , Yonina C. Eldar

We introduce the sparse direct sampling method (DSM) to estimate properties of a region from signals that probe the region. We demonstrate the sparse-DSM on two separate problems: estimating both the angle-of-arrival of a radio wave…

偏微分方程分析 · 数学 2020-10-19 Isaac Harris , Jacob D Rezac

The localization of multiple signal sources using sensor arrays has been a long-standing research challenge. While numerous solutions have been developed, signal space methods like MUSIC and ESPRIT have gained widespread popularity. As…

信号处理 · 电气工程与系统科学 2025-01-22 Mehdi Haghshenas , Aamir Mahmood , Mikael Gidlund

Motivated by applications in high-dimensional data analysis where strong signals often stand out easily and weak ones may be indistinguishable from the noise, we develop a statistical framework to provide a novel categorization of the data…

统计方法学 · 统计学 2013-05-02 X. Jessie Jeng

Recovery of support of a sparse vector from simple measurements is a widely-studied problem, considered under the frameworks of compressed sensing, 1-bit compressed sensing, and more general single index models. We consider generalizations…

机器学习 · 统计学 2021-11-05 Venkata Gandikota , Arya Mazumdar , Soumyabrata Pal

Multiheterodyne techniques using frequency combs -- light sources whose lines are perfectly evenly-spaced -- have revolutionized optical science. By beating an unknown signal with the many lines of a comb, its spectrum is recovered.…

光学 · 物理学 2020-04-23 David Burghoff

This paper presents a solution for multi source localization using only angle of arrival measurements. The receiver platform is in motion, while the sources are assumed to be stationary. Although numerous methods exist for single source…

信号处理 · 电气工程与系统科学 2025-06-13 Mustafa Atahan Nuhoglu , Hakan Ali Cirpan

We study the inverse problem of locating point sources from far-field data under plane wave incidence. A direct computational method is developed based on multiple scattering theory, using a novel indicator function to avoid iterative…

偏微分方程分析 · 数学 2025-09-18 Nana Meng

We study the increasing stability of an inverse source problem for the Helmholtz equation from limited-aperture far field data at multiple wave numbers. The measurement data are givenby the far field patterns $u^\infity(\hat{x},k)$ for all…

偏微分方程分析 · 数学 2024-03-14 Ibtissem Ben Aïcha , Guanghui Hu , Suliang Si

Music structure analysis (MSA) methods traditionally search for musically meaningful patterns in audio: homogeneity, repetition, novelty, and segment-length regularity. Hand-crafted audio features such as MFCCs or chromagrams are often used…

音频与语音处理 · 电气工程与系统科学 2022-05-03 Ju-Chiang Wang , Jordan B. L. Smith , Wei-Tsung Lu , Xuchen Song