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zj15001木虫 (小有名气)
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[求助]
请帮忙查一下一篇文章的SCI检索情况,谢谢
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J. Zou, Y. Fu, Q. Zhang and H. Li., Split Bregman algorithms for multiple measurement vector problem, Multidimensional Systems and Signal Processing, vol. 26, pp. 207-224, 2015. 1月份刚分配期卷号，不确定是否已被检索，请帮忙查一下，谢谢！ |
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zj15001: 金币+10, ★★★★★最佳答案, 谢谢 2015-03-02 13:36:06
oven1986: LS-EPI+1, 感谢应助。 2015-03-02 22:05:03
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zj15001: 金币+10, ★★★★★最佳答案, 谢谢 2015-03-02 13:36:06
oven1986: LS-EPI+1, 感谢应助。 2015-03-02 22:05:03
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Split Bregman algorithms for multiple measurement vector problem 作者:Zou, J (Zou, Jian)[ 2,1 ] ; Fu, YL (Fu, Yuli)[ 2 ] ; Zhang, QH (Zhang, Qiheng)[ 2 ] ; Li, HF (Li, Haifeng)[ 2 ] MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING 卷: 26 期: 1 页: 207-224 DOI: 10.1007/s11045-013-0251-6 出版年: JAN 2015 查看期刊信息 摘要 The standard sparse representation aims to reconstruct sparse signal from single measurement vector which is known as SMV model. In some applications, the SMV model extend to the multiple measurement vector (MMV) model, in which the signal consists of a set of jointly sparse vectors. In this paper, efficient algorithms based on split Bregman iteration are proposed to solve the MMV problems with both constrained form and unconstrained form. The convergence of the proposed algorithms is also discussed. Moreover, the proposed algorithms are used in magnetic resonance imaging reconstruction. Numerical results show the effectiveness of the proposed algorithms. 关键词 作者关键词:Multiple measurement vector problem; Split Bregman iteration; Convergence; MRI reconstruction KeyWords Plus:SIMULTANEOUS SPARSE APPROXIMATION; RANK AWARENESS; MR-IMAGES; RECONSTRUCTION; RECOVERY 作者信息 通讯作者地址: Fu, YL (通讯作者) 显示增强组织信息的名称 S China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510641, Guangdong, Peoples R China. 地址: [ 1 ] Yangtze Univ, Sch Informat & Math, Jinzhou 434020, Hubei, Peoples R China 显示增强组织信息的名称 [ 2 ] S China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510641, Guangdong, Peoples R China 电子邮件地址:zoujianjz@gmail.com; fuyuli@scut.edu.cn; qiheng.zhang@gmail.com; lihaifengxx@126.com 基金资助致谢 基金资助机构 授权号 International cooperation project of Guangdong Natural Science Foundation 2009B050700020 NSFC-Guangdong Union Project U0835003 NSFC 60903170 61004054 61104053 61103122 查看基金资助信息 出版商 SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS 类别 / 分类 研究方向:Computer Science; Engineering Web of Science 类别:Computer Science, Theory & Methods; Engineering, Electrical & Electronic 文献信息 文献类型:Article 语种:English 入藏号: WOS:000347953000012 ISSN: 0923-6082 eISSN: 1573-0824 其他信息 IDS 号: AZ0RT Web of Science 核心合集中的 "引用的参考文献": 33 Web of Science 核心合集中的 "被引频次": 0 |
2楼2015-03-02 12:37:26