Results 41 to 50 of about 63,884 (167)
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
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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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Efficient high-dimensional entanglement imaging with a compressive sensing, double-pixel camera [PDF]
, 2012 We implement a double-pixel, compressive sensing camera to efficiently characterize, at high resolution, the spatially entangled fields produced by spontaneous parametric downconversion.
Howell, John C., Howland, Gregory A.
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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
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, 2011 We introduce probabilistic frames to study finite frames whose elements are chosen at random. While finite tight frames generalize orthonormal bases by allowing redundancy, independent, uniformly distributed points on the sphere approximately form a ...
Ehler, Martin
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A Decentralized Bayesian Algorithm For Distributed Compressive Sensing in Networked Sensing Systems [PDF]
IEEE Transactions on Wireless Communications, 2016 Compressive sensing (CS), as a new sensing/sampling paradigm, facilitates signal acquisition by reducing the number of samples required for reconstruction of the original signal, and thus appears to be a promising technique for applications where the sampling cost is high, e.g., the Nyquist rate exceeds the current capabilities of analog-to-digital ...
Chen, W, Wassell, IJ
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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 +6 more
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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
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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 +7 more
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Dianxin kexue, 2016 Wideband distributed cooperative spectrum sensing based on compressed sensing can not only reduce high sampling rate,but also improve the spectrum sensing performance in low signal to noise ratio environment.In order to further enhance the spectrum ...
Yuzhi YAN +3 more
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