Distributed compressed sensing for sensor networks with packet erasures [PDF]
2014 IEEE Global Communications Conference, 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.
Christopher Lindberg +2 more
openaire +4 more sources
Distributed compressed sensing for photo-acoustic imaging [PDF]
2015 IEEE International Conference on Image Processing (ICIP), 2015 Photo-Acoustic Tomography (PAT) combines ultrasound resolution and penetration with endogenous optical contrast of tissue. Real-time PAT imaging is limited by the number of parallel data acquisition channels and pulse repetition rate of the laser. Typical photoacoustic signals afford sparse representation.
Kalloor Joseph Francis +2 more
openaire +4 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
openalex +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
openalex +3 more sources
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
openalex +3 more sources
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
openalex +3 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
openalex +3 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
openalex +3 more sources
Operational Rate-Distortion Performance of Single-Source and Distributed Compressed Sensing [PDF]
, 2014 We consider correlated and distributed sources without cooperation at the encoder. For these sources, we derive the best achievable performance in the rate-distortion sense of any distributed compressed sensing scheme, under the constraint of high--rate ...
Giulio Coluccia +2 more
openalex +7 more sources
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
doaj +1 more source