Results 41 to 50 of about 68,637 (294)
Distributed Compressed Hyperspectral Sensing Imaging Incorporated Spectral Unmixing and Learning
Journal of Spectroscopy, 2022 Compressed hyperspectral imaging is a powerful technique for satellite-borne and airborne sensors that can effectively shift the complex computational burden from the resource-constrained encoding side to a presumably more capable base-station decoder ...
Hua Xiao +5 more
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Variational Bayesian algorithm for distributed compressive sensing [PDF]
2015 IEEE International Conference on Communications (ICC), 2015 Distributed compressive sensing (DCS) concerns the reconstruction of multiple sensor signals with reduced numbers of measurements, which exploits both intra- and inter-signal correlations. In this paper, we propose a novel Bayesian DCS algorithm based on variational Bayesian inference.
Chen, W, Wassell, IJ
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On Known-Plaintext Attacks to a Compressed Sensing-based Encryption: A Quantitative Analysis [PDF]
, 2015 Despite the linearity of its encoding, compressed sensing may be used to provide a limited form of data protection when random encoding matrices are used to produce sets of low-dimensional measurements (ciphertexts).
Cambareri, Valerio +4 more
core +2 more sources
Distributed Compressed Sensing for Static and Time-Varying Networks [PDF]
IEEE Transactions on Signal Processing, 2014 We consider the problem of in-network compressed sensing from distributed measurements. Every agent has a set of measurements of a signal $x$, and the objective is for the agents to recover $x$ from their collective measurements using only communication with neighbors in the network.
Idit Keidar +2 more
openaire +2 more sources
Distributed Compressed Video Sensing in Camera Sensor Networks
International Journal of Distributed Sensor Networks, 2012 With the booming of video devices ranging from low-power visual sensors to mobile phones, the video sequences captured by these simple devices must be compressed easily and reconstructed by relatively more powerful servers. In such scenarios, distributed
Yu Liu, Xuqi Zhu, Lin Zhang, Sung Ho Cho
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D-ADMM: A Communication-Efficient Distributed Algorithm For Separable Optimization [PDF]
, 2013 We propose a distributed algorithm, named Distributed Alternating Direction Method of Multipliers (D-ADMM), for solving separable optimization problems in networks of interconnected nodes or agents.
Aguiar, Pedro M. Q. +3 more
core +2 more sources
Generalized Distributed Compressive Sensing
, 2012 Distributed Compressive Sensing (DCS) improves the signal recovery performance of multi signal ensembles by exploiting both intra- and inter-signal correlation and sparsity structure. However, the existing DCS was proposed for a very limited ensemble of signals that has single common information \cite{Baron:2009vd}.
Park, Jeonghun +3 more
openaire +2 more sources
FEBS Letters, EarlyView.B cells sense external mechanical forces and convert them into biochemical signals through mechanotransduction. Understanding how malignant B cells respond to physical stimuli represents a groundbreaking area of research. This review examines the key mechano‐related molecules and pathways in B lymphocytes, highlights the most relevant techniques to ...
Marta Sampietro +2 more
wiley +1 more source
Distributed Compressed Spectrum Sensing via Cooperative Support Fusion
International Journal of Distributed Sensor Networks, 2013 Spectrum sensing in wideband cognitive radio (CR) networks faces several significant practical challenges, such as extremely high sampling rates required for wideband processing, impact of frequency-selective wireless fading and shadowing, and limitation
Zha Song +3 more
doaj +1 more source
IEEE Access, 2021 Nowadays, the development of efficient communication system is necessary for future networks. Compressive sensing was proposed as a technique to save storage and energy by compressing signals using simple linear transformations.
Pedro H. C. De Souza +2 more
doaj +1 more source