Results 281 to 290 of about 46,224 (313)
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Sparse History Matching: Nonlinear-Orthogonal-Matching-Pursuit Algorithm
Journal of Petroleum Technology, 2013This article, written by Senior Technology Editor Dennis Denney, contains highlights of paper SPE 163582, ’An Ensemble-Based Nonlinear-Orthogonal-Matching-Pursuit Algorithm for Sparse History Matching of Reservoir Models,’ by Ahmed H. Elsheikh, University of Texas at Austin, King Abdullah University of Science and Technology; Mary F.
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Stagewise regularized orthogonal matching pursuit algorithm
Optics and Precision Engineering, 2014A novel reconstruction algorithm(stagewise regularized orthogonal matching pursuit)was proposed to reconstruct signals without prior sparsity information.The method constructed the candidate set by designing threshold based on the residual from signal reconstruction.The extracted signal atoms from the candidate set were merged with the previous support
吴迪 WU Di +4 more
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Mechanical systems and signal processing, 2018
Condition monitoring and fault diagnosis of rolling element bearings are significant to guarantee the reliability and functionality of a mechanical system, production efficiency, and plant safety. However, this is almost invariably a formidable challenge
Xin Zhang, Zhiwen Liu, Q. Miao, Lei Wang
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Condition monitoring and fault diagnosis of rolling element bearings are significant to guarantee the reliability and functionality of a mechanical system, production efficiency, and plant safety. However, this is almost invariably a formidable challenge
Xin Zhang, Zhiwen Liu, Q. Miao, Lei Wang
semanticscholar +1 more source
Neural Information Processing Systems, 2023
Aditya Chattopadhyay +2 more
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Aditya Chattopadhyay +2 more
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System Identification by Matching Pursuit and Orthogonal Matching Pursuit
2022 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE), 2022openaire +1 more source
REMARKS ABOUT ORTHOGONAL MATCHING PURSUIT ALGORITHMS
Advances in Adaptive Data Analysis, 2012The orthogonal matching pursuit (OMP) is a popular decoder to recover sparse signal in compressed sensing. Our aim is to investigate the theoretical properties of OMP. In particular, we show that the OMP decoder can give (p, q) instance optimality for a large class of encoders with 1 ≤ p ≤ q ≤ 2 and (p, q) ≠ (2, 2).
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IEEE Transactions on Communications, 2016
Junho Lee, G. Gil, Y. H. Lee
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Junho Lee, G. Gil, Y. H. Lee
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Dual film-like organelles enable spatial separation of orthogonal eukaryotic translation
Cell, 2021Christopher Dieter Reinkemeier +1 more
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