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相关论文: Multipolar Acoustic Source Reconstruction from Spa…

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We consider the inverse source problem of determining an acoustic source from multi-frequency phaseless far-field data. By supplementing some reference point sources to the inverse source model, we develop a novel strategy for recovering…

数值分析 · 数学 2020-02-11 Deyue Zhang , Yukun Guo , Fenglin Sun , Xianchao Wang

As technology grows, higher frequency signals are required to be processed in various applications. In order to digitize such signals, conventional analog to digital convertors are facing implementation challenges due to the higher sampling…

信息论 · 计算机科学 2014-11-27 Amir Zandieh , Alireza Zareian , Masoumeh Azghani , Farokh Marvasti

This paper is concerned with the inverse source problem of reconstructing an unknown acoustic excitation from phaseless measurements of the radiated fields away at multiple frequencies. It is well known that the non-uniqueness issue is a…

偏微分方程分析 · 数学 2018-08-01 Deyue Zhang , Yukun Guo , Jingzhi Li , Hongyu Liu

We consider the acoustic source imaging problems using multiple frequency data. Using the data of one observation direction/point, we prove that some information (size and location) of the source support can be recovered. A non-iterative…

偏微分方程分析 · 数学 2017-12-08 Ala Alzaalig , Guanghui Hu , Xiaodong Liu , Jiguang Sun

This paper introduces a hybrid computational framework for the multi-frequency inverse source problem governed by the Helmholtz equation. By integrating a classical Fourier method with a deep convolutional neural network, we address the…

偏微分方程分析 · 数学 2026-01-05 Hao Chen , Yan Chang , Yukun Guo , Yuliang Wang

This paper is concerned with the multi-frequency factorization method for imaging the support of a wave-number-dependent source function. It is supposed that the source function is given by the inverse Fourier transform of some…

数值分析 · 数学 2024-01-02 Hongxia Guo , Guanghui Hu

This paper concerns the inverse source scattering problems of recovering random sources for acoustic and elastic waves. The underlying sources are assumed to be random functions driven by an additive white noise. The inversion process aims…

数值分析 · 数学 2024-12-10 Yan Chang , Yukun Guo , Zhipeng Yang , Yue Zhao

This contribution proposes a two stage strategy to allow for phase retrieval in state of the art sub-Nyquist sampling schemes for sparse multiband signals. The proposed strategy is based on data acquisition via modulated wideband converters…

信息论 · 计算机科学 2015-09-29 Çağkan Yapar , Volker Pohl , Holger Boche

This paper presents a method for reconstructing an acoustic source located in a two-layered medium from multi-frequency phased or phaseless far-field patterns measured on the upper hemisphere. The interface between the two media is assumed…

数值分析 · 数学 2024-12-10 Yan Chang , Yukun Guo , Yue Zhao

Starting with far field data of time-harmonic acoustic or electromagnetic waves radiated by a collection of compactly supported sources in two-dimensional free space, we develop criteria and algorithms for the recovery of the far field…

偏微分方程分析 · 数学 2016-07-20 Roland Griesmaier , John Sylvester

A spectrally sparse signal of order $r$ is a mixture of $r$ damped or undamped complex sinusoids. This paper investigates the problem of reconstructing spectrally sparse signals from a random subset of $n$ regular time domain samples, which…

信息论 · 计算机科学 2016-06-07 Jian-Feng Cai , Tianming Wang , Ke Wei

Information about microscopic objects with features smaller than the diffraction limit is almost entirely lost in a far-field diffraction image but could be partly recovered with data completition techniques. Any such approach critically…

光学 · 物理学 2020-11-17 Maria Bancerek , Krzysztof M. Czajkowski , Rafal Kotynski

We present a novel approach for recovering a sparse signal from cross-correlated data. Cross-correlations naturally arise in many fields of imaging, such as optics, holography and seismic interferometry. Compared to the sparse signal…

信号处理 · 电气工程与系统科学 2021-04-28 Miguel Moscoso , Alexei Novikov , George Papanicolaou , Chrysoula Tsogka

We consider the inverse source problems with multi-frequency sparse near field measurements. In contrast to the existing near field operator based on the integral over the space variable, a multi-frequency near field operator is introduced…

数值分析 · 数学 2021-09-06 Xiaodong Liu , Shixu Meng

This paper investigates inverse source problems for time-dependent electromagnetic waves governed by Maxwell's equations. After applying the Fourier transform with respect to time, the problem leads to a frequency-domain electromagnetic…

数值分析 · 数学 2026-03-11 Fenglin Sun , Hongxia Guo

We present a strategy for the recovery of a sparse solution of a common problem in acoustic engineering, which is the reconstruction of sound source levels and locations applying microphone array measurements. The considered task bears…

最优化与控制 · 数学 2016-07-04 Laurent Hoeltgen , Michael Breuß , Gert Herold , Ennes Sarradj

We consider the multi-frequency inverse source problem for the scalar Helmholtz equation in the plane. The goal is to reconstruct the source term in the equation from measurements of the solution on a surface outside the support of the…

数值分析 · 数学 2018-05-23 Mirza Karamehmedović , Adrian Kirkeby , Kim Knudsen

The inverse acoustic scattering problems using multi-frequency backscattering far field patterns at isolated directions are studied. The underlying object could be point like scatterers, small scatterers, extended inhomogeneities and…

偏微分方程分析 · 数学 2019-10-18 Xia Ji , Xiaodong Liu

Recently, so called annihilating filer-based low rank Hankel matrix (ALOHA) approach was proposed as a powerful image inpainting method. Based on the observation that smoothness or textures within an image patch corresponds to sparse…

计算机视觉与模式识别 · 计算机科学 2015-10-20 Kyong Hwan Jin , Jong Chul Ye

A new algorithm is proposed for solving the three-dimensional scalar inverse problem of acoustic sounding in an inhomogeneous medium. The data for the algorithm are the complex amplitudes of the wave field measured outside the inhomogeneity…

数值分析 · 数学 2019-11-26 A. B. Bakushinsky , A. S. Leonov
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