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.
Chatterjee, Saikat +2 more
arxiv +8 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
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
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 +2 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
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 +2 more sources
Distributed Compressed Wideband Sensing in Cognitive Radio Sensor Networks [PDF]
arXiv, 2014 A novel distributed compressed wideband sensing scheme for Cognitive Radio Sensor Networks (CRSN) is proposed in this paper. Taking advantage of the distributive nature of CRSN, the proposed scheme deploys only one single narrowband sampler with ultra-low sampling rate at each nodes to accomplish the wideband spectrum sensing.
Huazi Zhang, Zhaoyang Zhang, Yuen Chau
arxiv +3 more sources
CDCS: Cluster-Based Distributed Compressed Sensing to Facilitate QoS Routing in Cognitive Video Sensor Networks [PDF]
Entropy, 2019 Compressed sensing based in-network compression methods which minimize data redundancy are critical to cognitive video sensor networks. However, most existing methods require a large number of sensors for each measurement, resulting in significant ...
Hang Shen +3 more
doaj +2 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 +4 more sources
Heterogeneous Networked Data Recovery from Compressive Measurements Using a Copula Prior [PDF]
IEEE Transactions on Communications, 2017, 2017 Large-scale data collection by means of wireless sensor network and internet-of-things technology poses various challenges in view of the limitations in transmission, computation, and energy resources of the associated wireless devices. Compressive data gathering based on compressed sensing has been proven a well-suited solution to the problem ...
Deligiannis, Nikos +3 more
arxiv +6 more sources