Results 11 to 20 of about 7,796 (295)
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
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Distributed compressed sensing to accelerate cine cardiac MRI [PDF]
J Cardiovasc Magn Reson, 2015 Zamani J, Moghaddam A, Rad H.
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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
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An Intelligent Grey Wolf Optimizer Algorithm for Distributed Compressed Sensing. [PDF]
Comput Intell Neurosci, 2018 Liu H, Hua G, Yin H, Xu Y.
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Probability-based pilot allocation for MIMO relay Distributed compressed sensing channel estimation [PDF]
EURASIP Journal on Advances in Signal Processing, 2018 Multiple-Input Multiple-Output (MIMO) relay communication systems are used as an efficient system in spectral efficiency and power allocation view point. In these systems, some of the facilities need channel state information (CSI).
Abbas Akbarpour-Kasgari +1 more
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Distributed Compressed Sensing of Hyperspectral Images According to Spectral Library Matching
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
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Communication-Efficient Distributed SGD With Compressed Sensing [PDF]
IEEE Control Systems Letters, 2022 We consider large scale distributed optimization over a set of edge devices connected to a central server, where the limited communication bandwidth between the server and edge devices imposes a significant bottleneck for the optimization procedure. Inspired by recent advances in federated learning, we propose a distributed stochastic gradient descent (
Yujie Tang +3 more
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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 quantization for compressed sensing [PDF]
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 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.
Shirazinia, Amirpasha +2 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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