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检索条件"主题词=spectral projected gradient algorithm"
3 条 记 录,以下是1-10 订阅
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Compressed sensing reconstruction of line-wise sub-sampled 3D echographic images based on dictionary learning: an experimental study
Compressed sensing reconstruction of line-wise sub-sampled 3...
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IEEE International Ultrasonics Symposium (IUS)
作者: Lorintiu, Oana Liebgott, Herve Bernard, Adeline Bernard, Olivier Friboulet, Denis Univ Lyon CREATIS Lyon France CNRS UMR5220 F-75700 Paris France INSERM U1044 F-75654 Paris 13 France INSA Lyon Lyon France Univ Lyon 1 F-69622 Villeurbanne France
This paper proposes a compressed sensing method based on overcomplete learned dictionaries for experimental 3D ultrasound (US) imaging. Two undersampling patterns suited for 3D US imaging are investigated in ex vivo 3... 详细信息
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Application of a Derivative-Free Method with Projection Skill to Solve an Optimization Problem
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Atmospheric and Oceanic Science Letters 2014年 第6期7卷 499-504页
作者: PENG Fei SUN Guo-Dong State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG) Institute of Atmospheric PhysicsChinese Academy of Sciences University of Chinese Academy of Sciences
Improving numerical forecasting skill in the atmospheric and oceanic sciences by solving optimization problems is an important issue. One such method is to compute the conditional nonlinear optimal perturbation(CNOP),... 详细信息
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Application of the restrained optimal perturbation method to study the backward heat conduction problem
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APPLIED MATHEMATICS AND COMPUTATION 2013年 221卷 703-709页
作者: Wang, Bo Zou, Guang-an Wang, Qiang Henan Univ Inst Appl Math Kaifeng 475004 Peoples R China Chinese Acad Sci Inst Oceanol Key Lab Ocean Circulat & Wave Qingdao 266071 Peoples R China Peking Univ Coll Engn Ctr Appl Phys & Technol Beijing 100871 Peoples R China
In this paper, a restrained optimal perturbation method is firstly proposed to solve the backward heat conduction problem, the initial temperature distribution will be identified from the overspecified data, a regular... 详细信息
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