Results 81 to 90 of about 63,884 (167)

Distributed variational sparse Bayesian compressed sensing based on factor graphs

Tongxin xuebao, 2014
A distributed variational sparse Bayesian compressed spectrum sensing algorithm based on factor graph was proposed,which decomposed the global spectrum sensing problem into local problem based on factor and variation.Belief propagation was used for the ...
Cui-tao ZHU, Fan YANG, Han-xin WANG, Zhong-jie LI   +3 more
doaj   +2 more sources

Evaluating the Performance of Compressive Sensing in Fiber-Optic Distributed Brillouin Sensors [PDF]

, 2023
Felipe Díaz, Marcelo A. Soto
openalex   +1 more source

Distributed Random Multi-Hop Compressed Sensing in 3-D Underwater Sensor Networks [PDF]

, 2014
Gongliang Liu, Wenjing Kang, Li Bo, Liu Ya   +3 more
openalex   +1 more source

Design of Compressed Sensing Algorithm for Coal Mine IoT Moving Measurement Data Based on a Multi-Hop Network and Total Variation

Sensors, 2018
As the application of a coal mine Internet of Things (IoT), mobile measurement devices, such as intelligent mine lamps, cause moving measurement data to be increased.
Gang Wang, Zhikai Zhao, Yongjie Ning
doaj   +1 more source

A communication-efficient distributed deep learning remote sensing image change detection framework

International Journal of Applied Earth Observations and Geoinformation
With the introduction of deep learning methods, the computation required for remote sensing change detection has significantly increased, and distributed computing is applied to remote sensing change detection to improve computational efficiency. However,
Hongquan Cheng, Jie Zheng, Huayi Wu, Kunlun Qi, Lihua He   +4 more
doaj   +1 more source

DCS-based MBSBL joint reconstruction of multi-sensors data for energy-efficient telemonitoring of human activity

International Journal of Distributed Sensor Networks, 2018
The joint reconstruction of nonsparse multi-sensors data with high quality is a challenging issue in human activity telemonitoring. In this study, we proposed a novel joint reconstruction algorithm combining distributed compressed sensing with multiple ...
Jianning Wu, Jiajing Wang, Yun Ling
doaj   +1 more source

Sparsity and Parallel Acquisition: Optimal Uniform and Nonuniform Recovery Guarantees

, 2016
The problem of multiple sensors simultaneously acquiring measurements of a single object can be found in many applications. In this paper, we present the optimal recovery guarantees for the recovery of compressible signals from multi-sensor measurements ...
Adcock, Ben, Chun, Il Yong, Li, Chen
core  

Time-Varying Channel Estimation Based on Distributed Compressed Sensing for OFDM Systems

Sensors
For orthogonal frequency division multiplexing (OFDM) systems in high-mobility scenarios, the estimation of time-varying multipath channels not only has a large error, which affects system performance, but also requires plenty of pilots, resulting in low
Yong Ding, Honggao Deng, Yuelei Xie, Haitao Wang, Shaoshuai Sun   +4 more
doaj   +1 more source

Compressing Sensing Based Source Localization for Controlled Acoustic Signals Using Distributed Microphone Arrays [PDF]

, 2017
Wei Ke, Xiunan Zhang, Yanan Yuan, Jianhua Shao   +3 more
openalex   +1 more source

Compressed Sensing and Parallel Acquisition

, 2016
Parallel acquisition systems arise in various applications in order to moderate problems caused by insufficient measurements in single-sensor systems. These systems allow simultaneous data acquisition in multiple sensors, thus alleviating such problems ...
Adcock, Ben, Chun, Il Yong
core