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The performance of objective image quality assessment (IQA) models has been evaluated primarily by comparing model predictions to human quality judgments. Perceptual datasets gathered for this purpose have provided useful benchmarks for…

Image and Video Processing · Electrical Eng. & Systems 2021-01-25 Keyan Ding , Kede Ma , Shiqi Wang , Eero P. Simoncelli

This paper investigates a reconfigurable intelligent surface (RIS)-assisted integrated sensing and communication (ISAC) system and proposes a joint communication and sensing beamforming design based on non-orthogonal multiple access (NOMA)…

Information Theory · Computer Science 2025-08-20 Chunjie Wang , Xuhui Zhang , Jinke Ren , Wenchao Liu , Shuqiang Wang , Yanyan Shen , Kejiang Ye , Chengzhong Xu , Dusit Niyato

The Independent Component Analysis (ICA) algorithm is implemented as a neural network for separating signals of different origin in astrophysical sky maps. Due to its self-organizing capability, it works without prior assumptions on the…

This paper introduces a new scheme of ion beam figuring (IBF), or rather variable-spot IBF, which is conducted at a constant scanning velocity with variable-spot ion beam collimated by a variable diaphragm. It aims at improving the…

Instrumentation and Detectors · Physics 2016-02-17 Lixiang Wu , Keqiang Qiu , Shaojun Fu

This paper describes a novel Deep Learning method for the design of IIR parametric filters for automatic audio equalization. A simple and effective neural architecture, named BiasNet, is proposed to determine the IIR equalizer parameters.…

Audio and Speech Processing · Electrical Eng. & Systems 2021-10-06 Giovanni Pepe , Leonardo Gabrielli , Stefano Squartini , Carlo Tripodi , Nicolò Strozzi

Multiple imputation provides an effective way to handle missing data. When several possible models are under consideration for the data, the multiple imputation is typically performed under a single-best model selected from the candidate…

Methodology · Statistics 2018-11-30 Gyuhyeong Goh , Jae Kwang Kim

With a plethora of available classification performance measures, choosing the right metric for the right task requires careful thought. To make this decision in an informed manner, one should study and compare general properties of…

Other Computer Science · Computer Science 2020-07-30 Dariusz Brzezinski , Jerzy Stefanowski , Robert Susmaga , Izabela Szczęch

Compact, stable, and versatile laser-driven ion sources hold great promise for applications ranging from medicine to materials science and fundamental physics. While single-shot sources have demonstrated favorable beam properties, including…

Bundle adjustment (BA) is a fundamental optimization technique used in many crucial applications, including 3D scene reconstruction, robotic localization, camera calibration, autonomous driving, space exploration, street view map generation…

Image and Video Processing · Electrical Eng. & Systems 2019-05-08 Shuzhen Qin , Qiang Liu , Bo Yu , Shaoshan Liu

Sub-grid scale parameterizations in atmospheric models involve numerous uncertain parameters that must be tuned to align simulations with observations. Here, we propose a framework for assessing objective tuning frameworks using the Single…

Atmospheric and Oceanic Physics · Physics 2026-04-07 Pappu Paul , Cristian Proistosescu

This paper investigates a downlink multiple-input single-output intelligent reflecting surface (IRS) aided non-orthogonal multiple access (NOMA) system, where a base station (BS) serves multiple users with the aid of IRSs. Our goal is to…

Signal Processing · Electrical Eng. & Systems 2020-11-12 Xidong Mu , Yuanwei Liu , Li Guo , Jiaru Lin , Naofal Al-Dhahir

This paper presents a robust beam alignment technique for millimeter-wave communications in low signal-to-noise ratio (SNR) environments. The core strategy of our technique is to repeatedly transmit the most probable beam candidates to…

Information Theory · Computer Science 2023-12-05 Jihun Park , Yongjeong Oh , Jaewon Yun , Seonjung Kim , Yo-Seb Jeon

The Bundle Adjustment (BA) model is commonly optimized using a nonlinear least squares method, with the Levenberg-Marquardt (L-M) algorithm being a typical choice. However, despite the L-M algorithm's effectiveness, its sensitivity to…

Optimization and Control · Mathematics 2025-04-02 Hailin Xu , Hongxia Wang , Huanshui Zhang

Beam alignment (BA) in modern millimeter wave standards such as 5G NR and WiGig (802.11ay) is based on exhaustive and/or hierarchical beam searches over pre-defined codebooks of wide and narrow beams. This approach is slow and…

Information Theory · Computer Science 2024-03-26 Yuqiang Heng , Yu Zhang , Ahmed Alkhateeb , Jeffrey G. Andrews

Vibrational spectroscopy is a cornerstone technique for molecular characterization and offers an ideal target for the computational investigation of molecular materials. Building on previous comprehensive assessments of efficient methods…

Aberration-corrected Scanning Transmission Electron Microscopy (STEM) has become an essential tool in understanding materials at the atomic scale. However, tuning the aberration corrector to produce a sub-{\AA}ngstr\"om probe is a complex…

We propose an experiment for the first proof of the type I electric Aharonov-Bohm effect in an ion interferometer for hydrogen. The performances of three different beam separation schemes are simulated and compared. The coherent ion beam is…

High-accuracy localization is a key enabler for integrated sensing and communication (ISAC), playing an essential role in various applications such as autonomous driving. Antenna arrays and reconfigurable intelligent surface (RIS) are…

Signal Processing · Electrical Eng. & Systems 2025-05-22 Mengting Li , Hui Chen , Sigurd Sandor Petersen , Huiping Huang , Alireza Pourafzal , Yu Ge , Ming Shen , Henk Wymeersch

High-frequency bands such as millimeter-wave and terahertz require narrow beams due to path loss and shadowing. Beam alignment (BA) methods allow the transceivers to adjust the directions of these beams efficiently by exploiting the channel…

Information Theory · Computer Science 2022-05-17 Ozlem Yildiz , Abbas Khalili , Elza Erkip

Current methods for end-to-end constructive neural combinatorial optimization usually train a policy using behavior cloning from expert solutions or policy gradient methods from reinforcement learning. While behavior cloning is…

Machine Learning · Computer Science 2024-11-05 Jonathan Pirnay , Dominik G. Grimm