Complex-valued differential operator-based method for multi-component signal separation
Guo, Baokui1; Peng, Silong1; Hu, Xiyuan1; Xu, Pengcheng2
2017-03-01
发表期刊SIGNAL PROCESSING
卷号132期号:2017页码:66-76
文章类型Article
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.
关键词Operator-based Signal Separation Null Space Pursuit Complex-valued Differential Operator Empirical Mode Decomposition Synchrosqueezing Wavelet Transform Am-fm Signal
WOS标题词Science & Technology ; Technology
DOI10.1016/j.sigpro.2016.09.015
关键词[WOS]EMPIRICAL MODE DECOMPOSITION ; COMPONENT ANALYSIS ; REPRESENTATIONS ; REASSIGNMENT ; ALGORITHM
收录类别SCI
语种英语
项目资助者Natural Science Foundation of China(61571438)
WOS研究方向Engineering
WOS类目Engineering, Electrical & Electronic
WOS记录号WOS:000389294600007
引用统计
被引频次:3[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/13372
专题智能制造技术与系统研究中心_多维数据分析
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
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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.
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