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相关论文: Efficient retrieval of phase information from real…

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Lorentz transmission electron microscopy is a unique characterization technique that enables the simultaneous imaging of both the microstructure and functional properties of materials at high spatial resolution. The quantitative information…

材料科学 · 物理学 2020-12-09 Tao Zhou , Mathew Cherukara , Charudatta Phatak

For the diffraction of an incident plane electromagnetic wave by a slotted metallic film, the previous analytical calculation for a single slot [Technical Phys. 50, 1076 (2005)] is generalized into a model for an arbitrary linear array of…

计算物理 · 物理学 2011-06-21 L. David Wellems , Danhong Huang

There has been a growing interest in wideband spectrum sensing due to its applications in cognitive radios and electronic surveillance. To overcome the sampling rate bottleneck for wideband spectrum sensing, in this paper, we study the…

信息论 · 计算机科学 2019-10-17 Linxiao Yang , Jun Fang , Huiping Duan , Hongbin Li

We present an efficient implementation of Wiener filtering of real-space linear field and optimal quadratic estimator of its power spectrum Band-powers. We first recast the field reconstruction into an optimization problem, which we solve…

宇宙学与河外天体物理 · 物理学 2019-10-16 Benjamin Horowitz , Uros Seljak , Grigor Aslanyan

Phase retrieval is a prevalent problem in digital signal processing and experimental physics that consists of estimating a complex signal from magnitude measurements. This paper expands the classical phase retrieval framework to electric…

信号处理 · 电气工程与系统科学 2023-05-17 Samuel Talkington , Santiago Grijalva

We develop a general-purpose formulation, based on two-dimensional spectral integrals, for computing electromagnetic fields produced by arbitrarily-oriented dipoles in planar-stratified environments, where each layer may exhibit arbitrary…

计算物理 · 物理学 2014-11-27 K. Sainath , F. L. Teixeira , B. Donderici

We present a computational imaging mode for large scale electron microscopy data, which retrieves a complex wave from noisy/sparse intensity recordings using a deep learning approach and subsequently reconstructs an image of the specimen…

材料科学 · 物理学 2022-02-28 Thomas Friedrich , Chu-Ping Yu , Johan Verbeek , Timothy Pennycook , Sandra Van Aert

This work studies phase retrieval for wave fields, aiming to recover the phase of an incoming wave from multi-plane intensity measurements behind different types of linear and nonlinear media. We show that unique phase retrieval can be…

光学 · 物理学 2025-05-22 Yan Cheng , Kui Ren , Nathan Soedjak

In a typical multi-standard military communication receiver, fast and reliable spectrum sensing unit is required to extract the information of multiple channels (frequency bands) present in a wideband input signal. In this paper, an energy…

信息论 · 计算机科学 2016-08-16 S. J. Darak , A. P. Vinod , E. M-K. Lai

Complex field measurements are increasingly becoming the standard for state-of-the-art astronomical instrumentation. Complex field measurements have been used to characterize a suite of ground, airborne, and space-based heterodyne receiver…

This paper introduces a new approach for the computation of electromagnetic field derivatives, up to any order, with respect to the material and geometric parameters of a given geometry, in a single Finite-Difference Time-Domain (FDTD)…

数值分析 · 数学 2024-12-20 Kae-An Liu , Hans-Dieter Lang , Costas D. Sarris

The present study deals with total internal reflection of a plane electromagnetic wave at an infinite plane boundary between a transparent medium and an amplifying or attenuating lower-index medium. Solutions of Maxwell's equations are…

光学 · 物理学 2023-06-13 Takeyuki Kobayashi

Compressive phase retrieval refers to the problem of recovering a structured $n$-dimensional complex-valued vector from its phase-less under-determined linear measurements. The non-linearity of measurements makes designing…

信息论 · 计算机科学 2020-06-11 Milad Bakhshizadeh , Arian Maleki , Shirin Jalali

First-principles calculations of electron interactions in materials have seen rapid progress in recent years, with electron-phonon (e-ph) interactions being a prime example. However, these techniques use large matrices encoding the…

材料科学 · 物理学 2025-03-11 Yao Luo , Dhruv Desai , Benjamin K. Chang , Jinsoo Park , Marco Bernardi

The multipole expansion is a key tool in the study of light-matter interactions. All the information about the radiation of and coupling to electromagnetic fields of a given charge-density distribution is condensed into few numbers: The…

光学 · 物理学 2018-05-08 R. Alaee , C. Rockstuhl , I. Fernandez-Corbaton

When analyzing plasma waves, a key parameter to determine is the phase velocity. It enables us to, for example, compute wavelengths, wave potentials, and determine the energy of resonant particles. The phase velocity of a wave, observed by…

空间物理 · 物理学 2022-04-06 Konrad Steinvall , Yuri V. Khotyaintsev , Daniel B. Graham

We study the propagation of surface waves on a current in the presence of an electromagnetic field. A horizontal (vertical) field strengthens (weakens) the counter-current which blocks the waves. We compute the phase space diagrams…

流体动力学 · 物理学 2010-10-12 Germain Rousseaux , Philippe Maïssa

High-throughput computational imaging requires efficient processing algorithms to retrieve multi-dimensional and multi-scale information. In computational phase imaging, phase retrieval (PR) is required to reconstruct both amplitude and…

图像与视频处理 · 电气工程与系统科学 2021-09-15 Xuyang Chang , Liheng Bian , Jun Zhang

Hypercomplex signal processing (HSP) offers powerful tools for analyzing and processing multidimensional signals by explicitly exploiting inter-dimensional correlations through Clifford algebra. In recent years, hypercomplex formulations of…

信号处理 · 电气工程与系统科学 2026-03-02 Kumar Vijay Mishra , Henry Arguello , Brian M. Sadler

I construct combined electric and magnetic field variables which independently represent energy flows in the forward and backward directions respectively, and use these to re-formulate Maxwell's equations. The emphasis is on detailed…

光学 · 物理学 2007-05-23 P. Kinsler