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In this paper, we investigate the design of energy-efficient beamforming for an ISAC system, where the transmitted waveform is optimized for joint multi-user communication and target estimation simultaneously. We aim to maximize the system…

Signal Processing · Electrical Eng. & Systems 2023-07-11 Jiaqi Zou , Songlin Sun , Christos Masouros , Yuanhao Cui , Yafeng Liu , Derrick Wing Kwan Ng

Photoelectron diffraction (PED) is a powerful and essential experimental technique for resolving the structure of surfaces with sub-angstrom resolution. In the high energy regime, researchers in angle-resolved photoemission spectroscopy…

We study the extinction efficiencies as well as scattering properties of particles of different porosity. Calculations are performed for porous pseudospheres with small size (Rayleigh) inclusions using the discrete dipole approximation.…

Astrophysics · Physics 2009-11-13 N. V. Voshchinnikov , G. Videen , Th. Henning

The local intrinsic dimension (LID) of data is a fundamental quantity in signal processing and learning theory, but quantifying the LID of high-dimensional, complex data has been a historically challenging task. Recent works have discovered…

Machine Learning · Computer Science 2025-11-27 Eric Yeats , Aaron Jacobson , Darryl Hannan , Yiran Jia , Timothy Doster , Henry Kvinge , Scott Mahan

A reconfigurable intelligent surface (RIS) is composed of low-cost elements that manipulate the propagation environment from a transmitter by intelligently applying phase shifts to incoming signals before they are reflected. This paper…

Information Theory · Computer Science 2024-07-23 Mohammad Javad-Kalbasi , Mohammed Saif , Shahrokh Valaee

For material identification, characterization, and quantification, it is useful to estimate system-independent material properties that do not depend on the detailed specifications of the X-ray computed tomography (CT) system such as…

Materials Science · Physics 2022-04-04 K. Aditya Mohan , Kyle M. Champley , Albert W. Reed , Steven M. Glenn , Harry E. Martz

High-fidelity electron microscopy simulations required for quantitative crystal structure refinements face a fundamental challenge: while physical interactions are well-described theoretically, real-world experimental effects are…

Mobile edge computing (MEC) has been regarded as a promising technique to support latencysensitivity and computation-intensive serves. However, the low offloading rate caused by the random channel fading characteristic becomes a major…

Information Theory · Computer Science 2024-03-22 Hao Xie , Dong Li , Bowen Gu

We present the efficiency of near-infrared reflective ruled diffraction gratings designed for the InfraRed Imaging Spectrograph (IRIS). IRIS is a first light, integral field spectrograph and imager for the Thirty Meter Telescope (TMT) and…

Instrumentation and Methods for Astrophysics · Physics 2015-06-22 Elliot Meyer , Shaojie Chen , Shelley A. Wright , Anna M. Moore , James E. Larkin , Luc Simard , Jerome Maire , Etsuko Mieda , Jacob Gordon

Accurate determination of three types of losses (dielectric, elastic and piezoelectric) in piezoelectric materials is critical, since they are closely related to the performance of high-power piezoelectric devices. The Standard k33 mode has…

Applied Physics · Physics 2021-05-25 Yoonsang Park , Maryam Majzoubi , Yuxuan Zhang , Timo Scholehwar , Eberhard Hennig , Kenji Uchino

This paper describes the application of a laser diffraction technique to the study of electroconvection in nematic liquid crystal cells. It allows a real-time quantitative access to pattern wave lengths and amplitudes. The diffraction…

Strongly Correlated Electrons · Physics 2009-11-07 Th. John , U. Behn , R. Stannarius

This letter presents a detailed performance analysis of the intelligent reflecting surface (IRS) aided single-input single-output communication systems, taking into account of the direct link between the transmitter and receiver. A…

Information Theory · Computer Science 2020-08-04 Qin Tao , Junwei Wang , Caijun Zhong

Approximate Symbol error rate (SER), outage probability and rate expressions are derived for receive diversity system employing optimum combining when both the desired and the interfering signals are subjected to Rician fading, for the…

Signal Processing · Electrical Eng. & Systems 2019-05-10 Muralikrishnan Srinivasan , Sheetal Kalyani

As part of the ViPErLEED project (Vienna package for Erlangen LEED, low-energy electron diffraction), computer programs have been developed for facile and user-friendly data extraction from movies of LEED images. The programs make use of…

Hyperspectral sensing provides rich spectral information for scene understanding in urban driving, but its high dimensionality poses challenges for interpretation and efficient learning. We introduce Learnable Quantum Efficiency (LQE), a…

Computer Vision and Pattern Recognition · Computer Science 2026-04-17 Imad Ali Shah , Jiarong Li , Ethan Delaney , Enda Ward , Martin Glavin , Edward Jones , Brian Deegan

Over-the-air federated learning (OTA-FL) reduces uplink latency by aggregating client updates directly over the wireless multiple-access channel. Coherent analog aggregation realizes this idea by aligning the phases and amplitudes of…

Signal Processing · Electrical Eng. & Systems 2026-05-19 Hao Chen , Zavareh Bozorgasl

The trial wave function method developed in Ref.s \cite{gutz,brink} for the case of narrow {\it s}-band in a perfect crystal is adapted for calculation of the density dependence of the effective mass and the Lande factor in a dilute…

Mesoscale and Nanoscale Physics · Physics 2009-11-07 V. T. Dolgopolov

We report on the development of a low-energy positron diffraction (LEPD) experimental station for surface structure analysis using a linac-based slow-positron beam. LEPD, the positron counterpart of low-energy electron diffraction (LEED),…

We introduce a new variational inference (VI) framework, called energetic variational inference (EVI). It minimizes the VI objective function based on a prescribed energy-dissipation law. Using the EVI framework, we can derive many existing…

Machine Learning · Statistics 2026-05-12 Yiwei Wang , Jiuhai Chen , Chun Liu , Lulu Kang

Electrochemical Impedance Spectroscopy (EIS) is a crucial technique for assessing corrosion of a metallic materials. The analysis of EIS hinges on the selection of an appropriate equivalent circuit model (ECM) that accurately characterizes…

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