Complex-valued differential operator-based method for multi-component signal separation
文献类型：期刊论文
| 作者 | Guo, Baokui1 ; Peng, Silong1; Hu, Xiyuan1; Xu, Pengcheng2
|
| 刊名 | SIGNAL PROCESSING
 |
| 出版日期 | 2017-03-01 |
| 卷号 | 132期号:2017页码:66-76 |
| 关键词 | Operator-based Signal Separation Null Space Pursuit Complex-valued Differential Operator Empirical Mode Decomposition Synchrosqueezing Wavelet Transform Am-fm Signal |
| DOI | 10.1016/j.sigpro.2016.09.015 |
| 文献子类 | Article |
| 英文摘要 | The null space pursuit (NSP) algorithm is an operator-based signal separation approach which separates a signal into a set of additive subcomponents using adaptively estimated operators and parameters. In this paper, a new operator termed complex-valued differential (CD) operator is proposed. Combining with the CD operator, this paper proposes NSP-CD algorithm to solve the CD operator-based signal separation problem. The NSP-CD algorithm can separate the multi-component signal into sum of amplitude-modulated and frequency-modulated (AM-FM) signals in the form of A(t)exp(j)(0). The proposed NSP-CD algorithm has many advantages. Firstly, the proposed CD operator can ensure that the AM FM signal totally lies in the null space of the operator rather than close to the null space that the original used operator may reach. Secondly, compared with the original NSP algorithm, our algorithm provides a more reasonable strategy to update the regularization parameter lambda and the leakage factor gamma. Finally, we have proved that the proposed algorithm has quadric convergence theoretically. Experiments on both synthetic and real-life signals demonstrate that the NSP-CD algorithm is more robust and effective than other state-of-the-art methods. |
| WOS关键词 | EMPIRICAL MODE DECOMPOSITION ; COMPONENT ANALYSIS ; REPRESENTATIONS ; REASSIGNMENT ; ALGORITHM |
| WOS研究方向 | Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000389294600007 |
| 资助机构 | Natural Science Foundation of China(61571438) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/13372]  |
| 专题 | 自动化研究所_智能制造技术与系统研究中心_多维数据分析团队 |
| 通讯作者 | Hu, Xiyuan |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Guo, Baokui,Peng, Silong,Hu, Xiyuan,et al. Complex-valued differential operator-based method for multi-component signal separation[J]. SIGNAL PROCESSING,2017,132(2017):66-76. |
| APA | Guo, Baokui,Peng, Silong,Hu, Xiyuan,&Xu, Pengcheng.(2017).Complex-valued differential operator-based method for multi-component signal separation.SIGNAL PROCESSING,132(2017),66-76. |
| MLA | Guo, Baokui,et al."Complex-valued differential operator-based method for multi-component signal separation".SIGNAL PROCESSING 132.2017(2017):66-76. |
入库方式： OAI收割
来源：自动化研究所
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