Results 31 to 40 of about 73,229 (279)

Energy-Efficient Distributed Compressed Sensing Data Aggregation for Cluster-Based Underwater Acoustic Sensor Networks

International Journal of Distributed Sensor Networks, 2016
Energy-efficient data aggregation is important for underwater acoustic sensor networks due to its energy constrained character. In this paper, we propose a kind of energy-efficient data aggregation scheme to reduce communication cost and to prolong ...
Deqing Wang, Ru Xu, Xiaoyi Hu, Wei Su
doaj   +1 more source

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, Zhongliang Wang, Xueying Cui, Liping Wang, Hongsheng Yang, Yingbiao Jia   +5 more
doaj   +1 more source

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, Hwang, Seunggye, Yang, Janghoon, Kim, Dongku   +3 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
doaj   +1 more source

Distributed Compressed Sensing for Sensor Networks with Packet Erasures

, 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.
Amat, Alexandre Graell i, Lindberg, Christopher, Wymeersch, Henk   +2 more
core   +1 more source

A Multichannel Spatial Compressed Sensing Approach for Direction of Arrival Estimation [PDF]

, 2010
The final publication is available at http://link.springer.com/chapter/10.1007%2F978-3-642-15995-4_57ESPRC Leadership Fellowship EP/G007144/1EPSRC Platform Grant EP/045235/1EU FET-Open Project FP7-ICT-225913 ...
D. Malioutov, E.J. Candes, E.J. Candes, H. Krim, R. Gribonval, S.G. Mallat, S.S. Chen, Y.C. Eldar   +7 more
core   +4 more sources

Distributed Compressed Sensing MRI Using Volume Array Coil

International Journal of Distributed Sensor Networks, 2013
The volume array coil in the magnetic resonance imaging (MRI) system is a typical application of the distributed sensor network in the biomedical area.
Zhen Feng, Feng Liu, He Guo, Zhikui Chen, Mingfeng Jiang, Mingjian Hong, Qi Jia   +6 more
doaj   +1 more source

Imaging of High‐Risk Neuroblastoma: Recommendations From SIOPEN Radiology and Nuclear Medicine Specialty Committees

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Neuroblastoma is the most common extracranial solid tumor in early childhood. Its clinical behavior is highly variable, ranging from spontaneous regression to fatal outcome despite intensive treatment. The International Society of Pediatric Oncology Europe Neuroblastoma Group (SIOPEN) Radiology and Nuclear Medicine Specialty Committees ...
Annemieke Littooij, Catia Olianti, Herve Brisse, Pier Luigi Di Paolo, Maria Garganese, Tejas Kapadia, Jurgen Schaefer, Hugh Wallace, Simon Wan, Bart de Keizer, Irmina Sefic Pasic, Julian Rogasch   +11 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, Huang Jijun, Liu Peiguo, He Jianguo   +3 more
doaj   +1 more source

Compressive Learning in Communication Systems: A Neural Network Receiver for Detecting Compressed Signals in OFDM Systems

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, Luciano Leonel Mendes, Marwa Chafii   +2 more
doaj   +1 more source