| 查看: 256 | 回复: 1 | ||||
| 本帖产生 1 个 ，点击这里进行查看 | ||||
zj15001木虫 (小有名气)
|
[求助]
请帮忙查一下一篇文章的SCI检索情况,谢谢
|
|||
|
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！ |
回复此楼» 猜你喜欢
生物学学硕求调剂
已经有5人回复
-
284求调剂
已经有10人回复
-
一志愿山东大学药学学硕求调剂
已经有4人回复
-
07化学280分求调剂
已经有4人回复
-
298-一志愿中国农业大学-求调剂
已经有12人回复
-
求材料，环境专业调剂
已经有3人回复
-
335求调剂
已经有5人回复
-
求调剂
已经有7人回复
-
一志愿吉大化学322求调剂
已经有4人回复
-
环境学硕288求调剂
已经有8人回复
Paulwolf
荣誉版主 (文坛精英)
非线性控制领域新人一枚
-
专家经验: +178 - 应助: 317 (大学生)
- 贵宾: 4.423
- 金币: 310300
- 散金: 17942
- 红花: 554
- 沙发: 3382
- 帖子: 35712
- 在线: 4027.9小时
- 虫号: 3131175
- 注册: 2014-04-12
- 专业: 控制理论与方法
- 管辖: 学术会议
【答案】应助回帖
★ ★ ★ ★ ★ ★ ★ ★ ★ ★
感谢参与，应助指数 +1
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
感谢参与，应助指数 +1
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
|
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
