Results 11 to 20 of about 20,469 (205)
$NP/CLP$ Equivalence: A Phenomenon Hidden Among Sparsity Models for Information Processing
CoRR, 2015 submitted to IEEE Transactions on Information Theory in June ...
Jigen Peng, Shigang Yue, Haiyang Li
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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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PLoS ONE, 2018 We proposed a new efficient image denoising scheme, which mainly leads to four important contributions whose approaches are different from existing ones.
Shuting Cai +5 more
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A Greedy Algorithm To Extract Sparsity Degree For L1/L0-Equivalence In A Deterministic Context
, 2012 Publication in the conference proceedings of EUSIPCO, Bucharest, Romania ...
Pustelnik, Nelly +4 more
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Design of robust constant beamwidth beamformer with maximal sparsity
Tongxin xuebao, 2015 To reduce the complexity of broadband array systems,an optimization model was built based on the analysis of the sparsity of the broadband array.The objective function was the convex combination of sensor and TDL sparsity with the constraint of constant ...
Kai WU, Tao SU, Qiang LI, Xue-hui HE
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Sparsity Equivalence of Anisotropic Decompositions
CoRR, 2011 Anisotropic decompositions using representation systems such as curvelets, contourlet, or shearlets have recently attracted significantly increased attention due to the fact that they were shown to provide optimally sparse approximations of functions exhibiting singularities on lower dimensional embedded manifolds.
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Asymptotic equivalence of quantum state tomography and noisy matrix completion
, 2013 Matrix completion and quantum tomography are two unrelated research areas with great current interest in many modern scientific studies. This paper investigates the statistical relationship between trace regression in matrix completion and quantum state ...
Wang, Yazhen
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Robust PCA as Bilinear Decomposition with Outlier-Sparsity Regularization [PDF]
, 2011 Principal component analysis (PCA) is widely used for dimensionality reduction, with well-documented merits in various applications involving high-dimensional data, including computer vision, preference measurement, and bioinformatics.
Giannakis, Georgios B., Mateos, Gonzalo
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Realizability and Internal Model Control on Networks
, 2019 It is proved that network realizability of controllers can be enforced without conservatism using convex constraints on the closed loop transfer function.
boyd, wang
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, 2012 Anisotropic decompositions using representation systems based on parabolic scaling such as curvelets or shearlets have recently attracted significantly increased attention due to the fact that they were shown to provide optimally sparse approximations of
Grohs, Philipp, Kutyniok, Gitta
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