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Implicit Neural Representations (INRs) have emerged as promising surrogates for large 3D scientific simulations due to their ability to continuously model spatial and conditional fields, yet they face a critical fidelity-speed dilemma: deep…

机器学习 · 计算机科学 2026-03-25 Tianyu Xiong , Skylar Wurster , Han-Wei Shen

Gravitational waves (GWs) from the inspiral of a neutron star (NS) or stellar-mass black hole (BH) into an intermediate-mass black hole (IMBH) with mass between ~50 and ~350 solar masses may be detectable by the planned advanced generation…

天体物理学 · 物理学 2010-11-11 Ilya Mandel , Duncan A. Brown , Jonathan R. Gair , M. Coleman Miller

Impulsive noise (IN) commonly generated by power devices can severely degrade the performance of high sensitivity wireless receivers. Accurate channel state information (CSI) knowledge is essential for designing optimal maximum a posteriori…

信号处理 · 电气工程与系统科学 2025-10-03 Chin-Hung Chen , Ivana Nikoloska , Wim van Houtum , Yan Wu , Boris Karanov , Alex Alvarado

Finite Rate of Innovation (FRI) sampling theory enables reconstruction of classes of continuous non-bandlimited signals that have a small number of free parameters from their low-rate discrete samples. This task is often translated into a…

信号处理 · 电气工程与系统科学 2023-07-21 Vincent C. H. Leung , Jun-Jie Huang , Yonina C. Eldar , Pier Luigi Dragotti

Radiation-induced acoustic (RA) imaging is a promising technique for visualizing radiation energy deposition in tissues, enabling new imaging modalities and real-time therapy monitoring. However, it requires measuring hundreds or even…

Deep learning (DL) has shown promise for faster, high quality accelerated MRI reconstruction. However, supervised DL methods depend on extensive amounts of fully-sampled (labeled) data and are sensitive to out-of-distribution (OOD) shifts,…

We investigate the detectability and waveform systematics of sub-solar mass intermediate mass-ratio inspirals (SSM-IMRIs), characterized by mass ratios $q \sim 10^2-10^4$. Using the black hole perturbation theory surrogate model…

广义相对论与量子宇宙学 · 物理学 2025-11-18 Devesh Giri , Bhooshan Gadre

We estimate the accuracy in the measurement of the tidal Love number of a supermassive compact object through the detection of an extreme mass ratio inspiral~(EMRI) by the future LISA mission. A nonzero Love number would be a smoking gun…

广义相对论与量子宇宙学 · 物理学 2023-02-01 Gabriel Andres Piovano , Andrea Maselli , Paolo Pani

Next-generation wireless technologies such as 6G aim to meet demanding requirements such as ultra-high data rates, low latency, and enhanced connectivity. Extremely Large-Scale MIMO (XL-MIMO) and Reconfigurable Intelligent Surface (RIS) are…

信息论 · 计算机科学 2026-01-01 Muhammad Kamran Saeed , Ashfaq Khokhar , Shakil Ahmed

The planned Laser Interferometer Space Antenna (LISA) will detect gravitational wave signals from a wide range of sources. However, disentangling individual signals from the source-dominated data stream is a challenging problem and the…

广义相对论与量子宇宙学 · 物理学 2016-11-15 Jonathan R Gair , Gareth Jones

Magnetic resonance imaging (MRI) is an essential diagnostic tool that suffers from prolonged scan time. To alleviate this limitation, advanced fast MRI technology attracts extensive research interests. Recent deep learning has shown its…

图像与视频处理 · 电气工程与系统科学 2023-12-27 Zi Wang , Haoming Fang , Chen Qian , Boxuan Shi , Lijun Bao , Liuhong Zhu , Jianjun Zhou , Wenping Wei , Jianzhong Lin , Di Guo , Xiaobo Qu

Space-based gravitational-wave detectors, such as the Laser Interferometer Space Antenna (LISA), provide a platform to probe new fundamental fields through extreme-mass-ratio inspirals (EMRIs), where a compact secondary object carrying…

广义相对论与量子宇宙学 · 物理学 2025-10-28 Tieguang Zi , Fu-Wen Shu

Magnetic Resonance Imaging (MRI) is a critical tool in modern medical diagnostics, yet its prolonged acquisition time remains a critical limitation, especially in time-sensitive clinical scenarios. While undersampling strategies can…

图像与视频处理 · 电气工程与系统科学 2025-10-09 Mohammed Alsubaie , Wenxi Liu , Linxia Gu , Ovidiu C. Andronesi , Sirani M. Perera , Xianqi Li

A core aim of neurocritical care is to prevent secondary brain injury. Spreading depolarizations (SDs) have been identified as an important independent cause of secondary brain injury. SDs are usually detected using invasive…

信号处理 · 电气工程与系统科学 2026-05-19 Yinzhe Wu , Sharon Jewell , Xiaodan Xing , Yang Nan , Anthony J. Strong , Guang Yang , Martyn G. Boutelle

Diffusion-weighted magnetic resonance imaging (DW-MRI) can be used to characterise the microstructure of the nervous tissue, e.g. to delineate brain white matter connections in a non-invasive manner via fibre tracking. Magnetic Resonance…

The extreme mass ratio inspiral (EMRI), defined as a stellar-mass compact object inspiraling into a supermassive black hole (SMBH), has been widely argued to be a low-frequency gravitational wave (GW) source. EMRIs providing accurate…

高能天体物理现象 · 物理学 2020-01-08 Y. Y. Wang , F. Y. Wang , Y. C. Zou , Z. G. Dai

Given the multi-frequency nature of relativistic orbits, transient orbital resonances are expected to be ubiquitous during an extreme-mass-ratio inspiral (EMRI). At a resonance, the orbital dynamics is modified in a nontrivial way,…

广义相对论与量子宇宙学 · 物理学 2026-04-30 Edoardo Levati , Alejandro Cárdenas-Avendaño

The space-based Laser Interferometer Space Antenna (LISA) will be able to observe the gravitational-wave signals from systems comprised of a massive black hole and a stellar-mass compact object. These systems are known as extreme-mass-ratio…

Semantic segmentation requires per-pixel prediction for a given image. Typically, the output resolution of a segmentation network is severely reduced due to the downsampling operations in the CNN backbone. Most previous methods employ…

计算机视觉与模式识别 · 计算机科学 2021-08-02 Bowen Zhang , Yifan Liu , Zhi Tian , Chunhua Shen

The semi-airborne transient electromagnetic method (SATEM) is capable of conducting rapid surveys over large-scale and hard-to-reach areas. However, the acquired signals are often contaminated by complex noise, which can compromise the…

机器学习 · 计算机科学 2025-03-31 Shuang Wang , Ming Guo , Xuben Wang , Fei Deng , Lifeng Mao , Bin Wang , Wenlong Gao