A new fixed-point algorithm for independent component analysis
文献类型：期刊论文
| 作者 | Shi, ZW; Tang, HW; Tang, YY |
| 刊名 | NEUROCOMPUTING
 |
| 出版日期 | 2004 |
| 卷号 | 56页码:467-473 |
| 关键词 | independent component analysis blind source separation fixed-point algorithm |
| ISSN号 | 0925-2312 |
| 英文摘要 | A new fixed-point algorithm for independent component analysis (ICA) is presented that is able blindly to separate mixed signals with sub- and super-Gaussian source distributions. The new fixed-point algorithm maximizes the likelihood of the ICA model under the constraint of decorrelation and uses the method of Lee et al. (Neural Comput. 11(2) (1999) 417) to switch between sub- and super-Gaussian regimes. The new fixed-point algorithm maximizes the likelihood very fast and reliably. The validity of this algorithm is confirmed by the simulations and experimental results. (C) 2003 Elsevier B.V. All rights reserved. |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000188597300029 |
| 源URL | [http://ir.psych.ac.cn/handle/311026/13903]  |
| 专题 | 心理研究所_中国科学院心理研究所回溯数据库(1956-2010) |
| 作者单位 | 1.Dalian Univ Technol, Inst Neuroinformat, Dalian 116023, Peoples R China 2.Chinese Acad Sci, Lab Visual Informat Proc, Beijing 100101, Peoples R China 3.Chinese Acad Sci, Key Lab Mental Hlth, Beijing 100101, Peoples R China 4.Dalian Univ Technol, Inst Computat Biol & Bioinformat, Dalian 116023, Peoples R China |
| 推荐引用方式 GB/T 7714 | Shi, ZW,Tang, HW,Tang, YY. A new fixed-point algorithm for independent component analysis[J]. NEUROCOMPUTING,2004,56:467-473. |
| APA | Shi, ZW,Tang, HW,&Tang, YY.(2004).A new fixed-point algorithm for independent component analysis.NEUROCOMPUTING,56,467-473. |
| MLA | Shi, ZW,et al."A new fixed-point algorithm for independent component analysis".NEUROCOMPUTING 56(2004):467-473. |
入库方式： OAI收割
来源：心理研究所
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