Complex-valued differential operator-based method for multi-component signal separation

doi:10.1016/j.sigpro.2016.09.015

CSpace > 应用数学研究所

	Complex-valued differential operator-based method for multi-component signal separation
	Guo, Baokui 1; Peng, Silong 1; Hu, Xiyuan 1; Xu, Pengcheng2
	2017-03-01
发表期刊	SIGNAL PROCESSING
ISSN	0165-1684
卷号	132 页码:66-76
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
DOI	10.1016/j.sigpro.2016.09.015
语种	英语
资助项目	Natural Science Foundation of China[61571438]
WOS研究方向	Engineering
WOS类目	Engineering, Electrical & Electronic
WOS记录号	WOS:000389294600007
出版者	ELSEVIER SCIENCE BV
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/24346
专题	应用数学研究所
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,2017,132:66-76.
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.