KMS Of Academy of mathematics and systems sciences, CAS
| Complex-valued differential operator-based method for multi-component signal separation | |
Guo, Baokui1; Peng, Silong1; Hu, Xiyuan1; Xu, Pengcheng2
| |
| 2017-03-01 | |
| Source Publication | SIGNAL PROCESSING
 |
| ISSN | 0165-1684 |
| Volume | 132Pages:66-76 |
| Abstract | 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. |
| Keyword | 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 |
| Language | 英语 |
| Funding Project | Natural Science Foundation of China[61571438] |
| WOS Research Area | Engineering |
| WOS Subject | Engineering, Electrical & Electronic |
| WOS ID | WOS:000389294600007 |
| Publisher | ELSEVIER SCIENCE BV |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/24346 |
| Collection | 应用数学研究所 |
| Corresponding Author | Hu, Xiyuan |
| Affiliation | 1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China |
| Recommended Citation 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,2017,132:66-76. |
| APA | Guo, Baokui,Peng, Silong,Hu, Xiyuan,&Xu, Pengcheng.(2017).Complex-valued differential operator-based method for multi-component signal separation.SIGNAL PROCESSING,132,66-76. |
| MLA | Guo, Baokui,et al."Complex-valued differential operator-based method for multi-component signal separation".SIGNAL PROCESSING 132(2017):66-76. |
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