Results 21 to 30 of about 7,796 (295)
IEEE Photonics Journal, 2021 The problem of long-distance imaging through time-varying scattering media, such as the atmosphere, is encountered in many science fields. Recent studies have demonstrated that random atmospheric variability can be considered a spatial light modulator in
Xuelin Lei +6 more
doaj +1 more source
The Journal of Engineering, 2020 For the characteristics of a random distribution and a large number of buses in the power system, the authors introduce distributed compressed sensing to compress and reconstruct the power quality data. They built a distributed IEEE14 bus system in PSCAD.
Huanan Yu, Honghao Yu
doaj +1 more source
Leida xuebao, 2020 High-resolution wide-swath SAR moving target imaging is of great significance for target tracking. To achieve target tracking, conversional space-based multichannel SAR technology requires a large number of channels.
PAN Jie +3 more
doaj +1 more source
Dictionary Design for Distributed Compressive Sensing [PDF]
IEEE Signal Processing Letters, 2014 This work is supported by EPSRC Research Grant EP/K033700/1 and EP/K033166/1, the Fundamental Research Funds for the Central Universities (No. 2014JBM149), the State Key Laboratory of Rail Traffic Control and Safety (RCS2012ZT014) of Beijing Jiaotong University, the Natural Science Foundation of China (U1334202), the Key Grant Project of Chinese ...
Wei Chen +2 more
openalex +2 more sources
Frontiers in Energy Research, 2022 The current disturbance classification of power quality data often has the problem of low disturbance recognition accuracy due to its large volume and difficult feature extraction.
Xin Xia +6 more
doaj +1 more source
Distributed Compressive Sensing
, 2009 42 pages, 6 figures.
Baron, Dror +4 more
openaire +3 more sources
Harmonic analysis in distributed power system based on IoT and dynamic compressed sensing
Energy Reports, 2022 Massive distributed clean energy takes power electronic equipment as the grid​ access connector, which brings serious harmonic pollutions. To monitor the power quality in the massive distributed power systems, this paper proposes a real-time harmonic ...
Yuqing Niu +5 more
doaj +1 more source
Laplace prior based distributed compressive sensing [PDF]
Proceedings of the 5th International ICST Conference on Communications and Networking in China, 2010 Bayesian compressive sensing (BCS) utilizes the prior distribution of signal coefficients to reconstruct the original signal. The widely used prior is Laplace and Gaussian distributed. In this paper, we use the scene of L sets of signal sparse coefficients which are statistically related and take advantage of Laplace prior and statistically ...
Liang Tang +5 more
openaire +1 more source
A distributed estimation method over network based on compressed sensing
International Journal of Distributed Sensor Networks, 2019 This article presents a distributed estimation method called compressed-combine-reconstruct-adaptive to estimate an unknown sparse parameter of interest from noisy measurement over networks based on compressed sensing.
Lin Li, Donghui Li
doaj +1 more source
Distributed Compressed Hyperspectral Sensing Imaging Incorporated Spectral Unmixing and Learning
Journal of Spectroscopy, 2022 Compressed hyperspectral imaging is a powerful technique for satellite-borne and airborne sensors that can effectively shift the complex computational burden from the resource-constrained encoding side to a presumably more capable base-station decoder ...
Hua Xiao +5 more
doaj +1 more source