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1Academic Journal
المؤلفون: Xiangxiang Xiong, Ming Zhang, Hongyu Shi, Anxue Zhang, Zhuo Xu
المصدر: IEEE Access, Vol 9, Pp 70071-70079 (2021)
مصطلحات موضوعية: DOA estimation, L-shaped array (LSA), mutual coupling, sparse Bayesian learning (SBL), Student t prior, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
وصف الملف: electronic resource
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2
المؤلفون: Qiu, Wenduo, Zhang, Xiaoxu, Karagiannidis, George K., Hao, Li, Xiao, Ming, 1975, Lan, Xueping
المصدر: 2024 IEEE 100th Vehicular Technology Conference, VTC 2024-Fall - Proceedings.
مصطلحات موضوعية: channel estimation, OTFS, pilot pattern, Student-T prior Sparse Bayesian Learning
وصف الملف: print
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3Conference
المؤلفون: Wang, Li, Mohammad-Djafari, Ali, Gac, Nicolas, Dumitru, Mircea
المساهمون: Laboratoire des signaux et systèmes (L2S), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)
المصدر: 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
https://hal.science/hal-01403784
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Mar 2016, Shanghai, China. pp.883-887, ⟨10.1109/ICASSP.2016.7471802⟩مصطلحات موضوعية: Bayesian Method, Hierarchical Model, Student-t prior models, Computed Tomography (CT), Non Destructive Testing (NDT), [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Relation: hal-01403784; https://hal.science/hal-01403784; https://hal.science/hal-01403784/document; https://hal.science/hal-01403784/file/ICASSP_Wang_Final.pdf
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4Conference
المؤلفون: Chu, Ning, Mohammad-Djafari, Ali, Gac, Nicolas, Picheral, José
المساهمون: Supélec Sciences des Systèmes (E3S), Ecole Supérieure d'Electricité - SUPELEC (FRANCE), Laboratoire des signaux et systèmes (L2S), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), AIP Conference Proceedings
المصدر: Proceedings of the 34th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering ; 34th International Workshop on Bayesian Inference and Maximun Entropy Methods in Science and Engineering (MaxEnt'14) ; https://centralesupelec.hal.science/hal-01103784 ; 34th International Workshop on Bayesian Inference and Maximun Entropy Methods in Science and Engineering (MaxEnt'14), Sep 2014, Amboise, France. pp.572 - 579, ⟨10.1063/1.4906024⟩
مصطلحات موضوعية: Student-t prior, Non-Gaussian noise, Variational Bayesian Approximation, Acoustic imaging, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Relation: hal-01103784; https://centralesupelec.hal.science/hal-01103784; https://centralesupelec.hal.science/hal-01103784/document; https://centralesupelec.hal.science/hal-01103784/file/Maxent2014-CHU.pdf
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5Academic Journal
المؤلفون: Pericchi, L. R., Smith, A. F. M.
المصدر: Journal of the Royal Statistical Society. Series B (Methodological), 1992 Jan 01. 54(3), 793-804.
URL الوصول: https://www.jstor.org/stable/2345859
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6Academic Journal
المؤلفون: KAYA, Mutlu, ÇANKAYA, Emel, ARSLAN, Olcay
المصدر: Volume: 68, Issue: 1 602-618 ; 1303-5991 ; 2618-6470 ; Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics
مصطلحات موضوعية: Robust bayesian regression,Ramsay-Novick,heavy-tailed distribution,Student-t prior,prior robustness
وصف الملف: application/pdf
Relation: https://dergipark.org.tr/tr/download/article-file/501854; https://dergipark.org.tr/tr/pub/cfsuasmas/issue/36517/441096
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7
المؤلفون: Li Wang, Ali Mohammad-Djafari, Nicolas Gac, Mircea Dumitru
المساهمون: Laboratoire des signaux et systèmes (L2S), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)
المصدر: 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Mar 2016, Shanghai, China. pp.883-887, ⟨10.1109/ICASSP.2016.7471802⟩
ICASSPمصطلحات موضوعية: Computer science, Bayesian probability, Bayesian Method, Computed tomography, 02 engineering and technology, Iterative reconstruction, Hierarchical database model, Image (mathematics), Nondestructive testing, 0202 electrical engineering, electronic engineering, information engineering, medicine, Hierarchical Model, Computer vision, Non Destructive Testing (NDT), Tomographic reconstruction, medicine.diagnostic_test, business.industry, Computed Tomography (CT), 020206 networking & telecommunications, Inverse problem, Piecewise, Student-t prior models, 020201 artificial intelligence & image processing, Artificial intelligence, business, Algorithm, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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8
المؤلفون: Nicolas Gac, Ali Mohammad-Djafari, José Picheral, Ning Chu
المساهمون: Supélec Sciences des Systèmes (E3S), Ecole Supérieure d'Electricité - SUPELEC (FRANCE), Laboratoire des signaux et systèmes (L2S), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), AIP Conference Proceedings
المصدر: Proceedings of the 34th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
34th International Workshop on Bayesian Inference and Maximun Entropy Methods in Science and Engineering (MaxEnt'14)
34th International Workshop on Bayesian Inference and Maximun Entropy Methods in Science and Engineering (MaxEnt'14), Sep 2014, Amboise, France. pp.572-579, ⟨10.1063/1.4906024⟩مصطلحات موضوعية: Mathematical optimization, Acoustic imaging, Microphone, Student-t prior, Bayesian probability, Variational Bayesian Approximation, 020206 networking & telecommunications, 02 engineering and technology, Acoustic source localization, Inverse problem, Non-Gaussian noise, Bayesian inference, Noise, Prior probability, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Image resolution, Algorithm, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Mathematics