Review on the new development of vibration-based damage identification for civil engineering structures: 2010–2019

R Hou, Y Xia - Journal of Sound and Vibration, 2021 - Elsevier
Structural damage identification has received considerable attention during the past
decades. Although several reviews have been presented, some new developments have …

Enabling joint communication and radar sensing in mobile networks—A survey

JA Zhang, ML Rahman, K Wu, X Huang… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Mobile network is evolving from a communication-only network towards one with joint
communication and radar/radio sensing (JCAS) capabilities, that we call perceptive mobile …

[PDF][PDF] 压缩感知理论及其研究进展

石光明, 刘丹华, 高大化, 刘哲, 林杰, 王良君 - 电子学报, 2009 - ejournal.org.cn
信号采样是联系模拟信源和数字信息的桥梁. 人们对信息的巨量需求造成了信号采样,
传输和存储的巨大压力. 如何缓解这种压力又能有效提取承载在信号中的有用信息是信号与信息 …

压缩感知回顾与展望

焦李成, 杨淑媛, 刘芳, 侯彪 - 电子学报, 2011 - ejournal.org.cn
压缩感知是建立在矩阵分析, 统计概率论, 拓扑几何, 优化与运筹学, 泛函分析等基础上的一种
全新的信息获取与处理的理论框架. 它基于信号的可压缩性, 通过低维空间, 低分辨率, 欠Nyquist …

Sparse synthetic aperture radar imaging from compressed sensing and machine learning: Theories, applications, and trends

G Xu, B Zhang, H Yu, J Chen, M Xing… - IEEE Geoscience and …, 2022 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) image formation can be treated as a class of ill-posed linear
inverse problems, and the resolution is limited by the data bandwidth for traditional imaging …

[PDF][PDF] 压缩感知研究

戴琼海, 付长军, 季向阳 - 计算机学报, 2011 - cjc.ict.ac.cn
摘要经典的香农采样定理认为, 为了不失真地恢复模拟信号, 采样频率应该不小于奈奎斯特频率(
即模拟信号频谱中的最高频率) 的两倍. 但是其中除了利用到信号是有限带宽的假设外 …

A comprehensive survey on spectrum sensing in cognitive radio networks: Recent advances, new challenges, and future research directions

Y Arjoune, N Kaabouch - Sensors, 2019 - mdpi.com
Cognitive radio technology has the potential to address the shortage of available radio
spectrum by enabling dynamic spectrum access. Since its introduction, researchers have …

Compressed sensing using generative models

A Bora, A Jalal, E Price… - … conference on machine …, 2017 - proceedings.mlr.press
The goal of compressed sensing is to estimate a vector from an underdetermined system of
noisy linear measurements, by making use of prior knowledge on the structure of vectors in …

Patient-specific reconstruction of volumetric computed tomography images from a single projection view via deep learning

L Shen, W Zhao, L Xing - Nature biomedical engineering, 2019 - nature.com
Tomographic imaging using penetrating waves generates cross-sectional views of the
internal anatomy of a living subject. For artefact-free volumetric imaging, projection views …

A stable meaningful image encryption scheme using the newly-designed 2D discrete fractional-order chaotic map and Bayesian compressive sensing

L Zhu, D Jiang, J Ni, X Wang, X Rong, M Ahmad… - Signal Processing, 2022 - Elsevier
In order to safely and covertly protect the digital image information during public channel
transmission and localized storage, a stable image visually secure encryption algorithm by …