Results 1 to 10 of about 598,839 (344)
Distributed Quantization for Compressed Sensing [PDF]
arXiv, 2014 We study distributed coding of compressed sensing (CS) measurements using vector quantizer (VQ). We develop a distributed framework for realizing optimized quantizer that enables encoding CS measurements of correlated sparse sources followed by joint decoding at a fusion center.
Amirpasha Shirazinia +2 more
arxiv +8 more sources
Power quality data processing method based on a distributed compressed sensing and learning dictionary [PDF]
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 +3 more sources
Distributed Compressed Sensing of Hyperspectral Images According to Spectral Library Matching [PDF]
IEEE Access, 2021 The ever-increasing resolution puts tremendous pressure to the onboard hyperspectral imaging system. Compressed sensing technology is one of the important ways to solve this problem.
Hua Xiao, Zhongliang Wang, Xueying Cui
doaj +3 more sources
An Intelligent Grey Wolf Optimizer Algorithm for Distributed Compressed Sensing. [PDF]
Comput Intell Neurosci, 2018 Distributed Compressed Sensing (DCS) is an important research area of compressed sensing (CS). This paper aims at solving the Distributed Compressed Sensing (DCS) problem based on mixed support model. In solving this problem, the previous proposed greedy
Liu H, Hua G, Yin H, Xu Y.
europepmc +6 more sources
An Efficient Distributed Compressed Sensing Algorithm for Decentralized Sensor Network. [PDF]
Sensors (Basel), 2017 We consider the joint sparsity Model 1 (JSM-1) in a decentralized scenario, where a number of sensors are connected through a network and there is no fusion center.
Liu J, Huang K, Zhang G.
europepmc +4 more sources
Study on communication channel estimation by improved SOMP based on distributed compressed sensing [PDF]
EURASIP Journal on Wireless Communications and Networking, 2019 Wireless communication channel usually show the feature of time-varying; however, the time-varying channel has the characteristic that the channel structure within the adjacent time slots having serious time correlation.
Biao Wang +4 more
doaj +3 more sources
Distributed Compressed Sensing for Sensor Networks with Packet Erasures [PDF]
arXiv, 2014 We study two approaches to distributed compressed sensing for in-network data compression and signal reconstruction at a sink in a wireless sensor network where sensors are placed on a straight line. Communication to the sink is considered to be bandwidth-constrained due to the large number of devices.
Amat, Alexandre Graell i +2 more
arxiv +6 more sources
IEEE Access, 2018 Microseismic monitoring is widely applied in dams, mines, and various fields of underground engineering. The number of sensors in microseismic monitoring systems is usually very large, which will result in a huge amount of data being produced if the ...
Ran Zhang +3 more
doaj +3 more sources
Methods for Distributed Compressed Sensing [PDF]
Journal of Sensor and Actuator Networks, 2013 Compressed sensing is a thriving research field covering a class of problems where a large sparse signal is reconstructed from a few random measurements.
Dennis Sundman +2 more
doaj +3 more sources
Compressed Sensing-Based Distributed Image Compression [PDF]
Applied Sciences, 2014 In this paper, a new distributed block-based image compression method based on the principles of compressed sensing (CS) is introduced. The coding and decoding processes are performed entirely in the CS measurement domain.
Muhammad Yousuf Baig +2 more
doaj +3 more sources