Results 11 to 20 of about 7,447 (293)
Distributed Compressive Sensing
, 2009 42 pages, 6 figures.
Dror Baron +4 more
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Adaptive Grouping Distributed Compressive Sensing Reconstruction of Plant Hyperspectral Data
Sensors, 2017 With the development of hyperspectral technology, to establish an effective spectral data compressive reconstruction method that can improve data storage, transmission, and maintaining spectral information is critical for quantitative remote sensing ...
Ping Xu +4 more
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High-Performance Distributed Compressive Video Sensing: Jointly Exploiting the HEVC Motion Estimation and the ℓ1 – ℓ1 Reconstruction [PDF]
IEEE Access, 2020 The distributed compressive video sensing (DCVS) system combines the advantages of compressed sensing (CS) and distributed video coding (DVC), suitable for the limited-resource video sensing and transmission environment.
Ruifeng Zhang +3 more
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Time-Varying Channel Estimation Based on Distributed Compressed Sensing for OFDM Systems [PDF]
SensorsFor 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 +4 more
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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
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Distributed Compressed Sensing off the Grid [PDF]
IEEE Signal Processing Letters, 2014 This letter investigates the joint recovery of a frequency-sparse signal ensemble sharing a common frequency-sparse component from the collection of their compressed measurements. Unlike conventional arts in compressed sensing, the frequencies follow an off-the-grid formulation and are continuously valued in $\left\lbrack 0,1 \right\rbrack$.
Zhenqi Lu +4 more
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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
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An Efficient Distributed Compressed Sensing Algorithm for Decentralized Sensor Network. [PDF]
Sensors (Basel), 2017 Liu J, Huang K, Zhang G.
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Distributed Compressed Video Sensing [PDF]
2009 43rd Annual Conference on Information Sciences and Systems, 2009 This paper proposes a novel framework called Distributed Compressed Video Sensing (DISCOS) - a solution for Distributed Video Coding (DVC) based on the Compressed Sensing (CS) theory. The DISCOS framework compressively samples each video frame independently at the encoder and recovers video frames jointly at the decoder by exploiting an interframe ...
Thong T. Do +5 more
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Distributed Compressed Hyperspectral Sensing Imaging Based on Spectral Unmixing
Sensors, 2020 The huge volume of hyperspectral imagery demands enormous computational resources, storage memory, and bandwidth between the sensor and the ground stations.
Zhongliang Wang, Hua Xiao
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