Results 41 to 50 of about 72,358 (316)

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, Mangia, Mauro, Pareschi, Fabio, Rovatti, Riccardo, Setti, Gianluca   +4 more
core   +2 more sources

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

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

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

Communication channel analysis and real time compressed sensing for high density neural recording devices [PDF]

, 2016
Next generation neural recording and Brain- Machine Interface (BMI) devices call for high density or distributed systems with more than 1000 recording sites.
Duncan, Kerron, Etienne-Cummings, Ralph, Mitra, Srinjoy, Suo, Yuanming, Tran, Trac Duy, Xiong, Tao, Zhang, Jie   +6 more
core   +1 more source

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

Effect of Foot Orthoses on Midfoot Pain and the Volume of Bone Marrow Lesions in the Midfoot: A Randomized Mechanism of Action Study

Arthritis Care &Research, EarlyView.
Objective Foot orthoses are thought to improve pain by potentially modifying internal mechanical forces. To test this, we explored whether foot orthoses can modify patterns of bone marrow lesions (BMLs) in people with midfoot pain. Methods Forty‐two people were recruited with midfoot pain, and magnetic resonance imaging–confirmed midfoot BMLs ...
Jill Halstead, Anne‐Maree Keenan, Philip G. Conaghan, Dennis McGonagle, Anthony C. Redmond   +4 more
wiley   +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

Random Tight Frames

, 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
core   +1 more source