Search Results - "approximate message-passing algorithm"
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Authors: et al.
Contributors: et al.
Source: 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD). :31-36
Subject Terms: Ranging Estimation, Revisited Approximate Message Passing Algorithm Receiver Reflecter Diffraction, [INFO] Computer Science [cs], Expectation Maximization, Multipath Components
File Description: application/pdf
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Authors: et al.
Source: Front Neuroinform
Frontiers in Neuroinformatics, Vol 18 (2024)Subject Terms: ECG, non-local similarity, approximate message passing algorithm, Neurosciences. Biological psychiatry. Neuropsychiatry, weighted nuclear norm minimization, ZZ OA Fund (articles), compressed sensing, RC321-571, Neuroscience
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Authors:
Source: Statistica Neerlandica. 77:71-98
Subject Terms: high-dimensional linear model, Statistics & Probability, REGRESSION SHRINKAGE, LASSO, CONFIDENCE-REGIONS, 01 natural sciences, LIKELIHOOD, hypothesis testing, 1403 Econometrics, 0101 mathematics, RISK, Science & Technology, COMPOSITE, SIMULTANEOUS INFERENCE, 0104 Statistics, ROBUST REGRESSION, loss function, VARIABLE SELECTION, 4905 Statistics, confidence interval, l(1)-regularization, Physical Sciences, PHASE-TRANSITION, approximate message passing algorithm, Mathematics
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Authors: et al.
Contributors: et al.
Source: ISSN: 1932-4553 ; IEEE Journal of Selected Topics in Signal Processing ; https://hal.science/hal-05045244 ; IEEE Journal of Selected Topics in Signal Processing, 2024, 18 (5), pp.950-963. ⟨10.1109/JSTSP.2024.3491580⟩.
Subject Terms: Revisited Vector Approximate Message Passing Algorithm, Expectation Maximization, Power Delay Profile, Multipath Component, Ranging Estimation, [INFO]Computer Science [cs]
Relation: info:eu-repo/grantAgreement//01MJ22008A/EU/5G-OPERA/5G-OPERA; info:eu-repo/grantAgreement//101094831/EU/Telecommunications and Computer Vision Convergence Tools for Research Infrastructures/CONVERGE
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Authors: et al.
Source: IEEE Access, Vol 7, Pp 9080-9090 (2019)
Subject Terms: iterative thresholding algorithm, Approximate message passing algorithm, nonconvex regularization, sparsity, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, 0101 mathematics, 01 natural sciences, variable selection, TK1-9971
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Authors:
Source: Guo, C & Davies, M E 2015, ' Near Optimal Compressed Sensing Without Priors : Parametric SURE Approximate Message Passing ', IEEE Transactions on Signal Processing, vol. 63, no. 8, pp. 2130-2141 . https://doi.org/10.1109/TSP.2015.2408569
Subject Terms: Stein's unbiased risk estimate, FOS: Computer and information sciences, Approximate message passing algorithm, signal denoising, Computer Science - Information Theory, Information Theory (cs.IT), 0202 electrical engineering, electronic engineering, information engineering, parametric estimator, PURSUIT, 02 engineering and technology, WAVELET, compressed sensing
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Access URL: http://arxiv.org/pdf/1409.0440
http://arxiv.org/abs/1409.0440
http://www.research.ed.ac.uk/portal/en/publications/near-optimal-compressed-sensing-without-priors(69b4ad96-eb25-4f68-ab45-063a5315107a).html
https://ieeexplore.ieee.org/document/7054509/
https://www.research.ed.ac.uk/portal/en/publications/near-optimal-compressed-sensing-without-priors(69b4ad96-eb25-4f68-ab45-063a5315107a).html
https://www.arxiv-vanity.com/papers/1409.0440/
https://dblp.uni-trier.de/db/journals/corr/corr1409.html#GuoD14
https://arxiv.org/pdf/1409.0440.pdf
https://www.pure.ed.ac.uk/ws/files/19749058/SURE_AMP_1.pdf
https://hdl.handle.net/20.500.11820/69b4ad96-eb25-4f68-ab45-063a5315107a -
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Authors: et al.
Subject Terms: Multidisciplinary Sciences, Science & Technology - Other Topics, high-dimensional inference, generalized linear model, bayesian inference, perceptron, approximate message-passing algorithm, message-passing algorithms, statistical-mechanics, storage capacity, signal recovery, neural-networks, information, retrieval, equations, cdma
Relation: https://infoscience.epfl.ch/record/267274/files/5451.full.pdf; Proceedings Of The National Academy Of Sciences Of The United States Of America (PNAS); https://infoscience.epfl.ch/handle/20.500.14299/158044; WOS:000461679000043
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Authors:
Contributors:
Subject Terms: 壓縮檢測, 機器通信, 機器學習, 近似消息傳遞演算法, 極性碼, 稀疏碼多工存取, 非正交多工存取, 多用戶偵測, Compressive sensing, machine-type communications, machine learning, approximate message passing algorithm, polar code, sparse code multiple access, non-orthogonal multiple access, multiuser detection
File Description: 117 bytes; text/html
Relation: http://ir.lib.ntust.edu.tw/handle/987654321/80690; http://ir.lib.ntust.edu.tw/bitstream/987654321/80690/1/index.html
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Authors: et al.
Contributors: et al.
Source: https://theses.hal.science/tel-01224747 ; Information Theory [math.IT]. Université Paris Diderot, 2015. English. ⟨NNT : ⟩.
Subject Terms: Statistical physics, disordered systems, mean field theory, signal processing, Bayesian inference, statistical learning, coding theory, linear estimation, sparsity, approx- imate sparsity, compressed sensing, spatial coupling, Gaussian channel, error correcting codes, sparse superposition codes, approximate message passing algorithm, cavity method, state evolution analysis, replica method, Physique statistique, systèmes désordonnés, théorie du champ moyen, traitement du signal, inférence Bayesienne, apprentissage statistique, théorie du codage, estimation linéaire, parcimonie, parcimonie approximative, acquisition comprimée
Relation: info:eu-repo/grantAgreement/EC/FP7/307087/EU/Statistical Physics Approach to Reconstruction in Compressed Sensing/SPARCS
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Authors: Barbier, Jean
Contributors: Barbier, Jean
Subject Terms: canal Gaussien, [MATH.MATH-PR] Mathematics [math]/Probability [math.PR], cavity method, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, Bayesian inference, [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], méthode des répliques, sparse superposition codes, [MATH.MATH-IT] Mathematics [math]/Information Theory [math.IT], [PHYS.COND.CM-SM] Physics [physics]/Condensed Matter [cond-mat]/Statistical Mechanics [cond-mat.stat-mech], state evolution analysis, [STAT.AP] Statistics [stat]/Applications [stat.AP], analyse d'évolution des états, disordered systems, Physique statistique, error correcting codes, estimation linéaire, systèmes désordonnés, codes correcteurs d'erreurs, signal processing, [MATH.MATH-ST] Mathematics [math]/Statistics [math.ST], compressed sensing, spatial coupling, parcimonie approximative, algo- rithme approximé de passage de messages, sparsity, traitement du signal, Gaussian channel, apprentissage statistique, théorie du codage, [PHYS.COND.CM-DS-NN] Physics [physics]/Condensed Matter [cond-mat]/Disordered Systems and Neural Networks [cond-mat.dis-nn], parcimonie, statistical learning, couplage spatial, [INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM], linear estimation, théorie du champ moyen, acquisition comprimée, méthode de la cavité, mean field theory, approx- imate sparsity, inférence Bayesienne, approximate message passing algorithm, Statistical physics, replica method, [INFO.INFO-IT] Computer Science [cs]/Information Theory [cs.IT], coding theory, codes de superposition parcimonieuse
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Access URL: https://theses.hal.science/tel-01224747v1
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Authors: et al.
Contributors: et al.
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