中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Adaptive Integral Operators for Signal Separation

文献类型:期刊论文

作者Hu, Xiyuan1; Silong Peng1; Hwang, Wen-Liang2
刊名IEEE SIGNAL PROCESSING LETTERS
出版日期2015
卷号22期号:9页码:1383-1387
关键词Integral Equation Narrow Band Signal
英文摘要The operator-based signal separation approach uses an adaptive operator to separate a signal into a set of additive subcomponents.In this paper, we show that differential operators and their initial and boundary values can be exploited to derive corresponding integral operators. Although the differential operators and the integral operators have the same null space, the latter are more robust to noisy signals. Moreover, after expanding the kernels of Frequency Modulated (FM) signals via eigen-decomposition,the operator-based approach with the integral operator can be regarded as the matched filter approach that uses eigen-functions as the matched filters. We then incorporate the integral operator into the Null Space Pursuit (NSP) algorithm to estimate the kernel and extract the subcomponent of a signal. To demonstrate the robustness and efficacy of the proposed algorithm, we compare it with several state-of-the-art approaches in separating multiple-component synthesized signals and real-life signals.
源URL[http://ir.ia.ac.cn/handle/173211/19678]  
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
作者单位1.Institute of Automation, Chinese Academy of Sciences
2.Institute of Information Science, Academia Sinica
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Hu, Xiyuan,Silong Peng,Hwang, Wen-Liang. Adaptive Integral Operators for Signal Separation[J]. IEEE SIGNAL PROCESSING LETTERS,2015,22(9):1383-1387.
APA Hu, Xiyuan,Silong Peng,&Hwang, Wen-Liang.(2015).Adaptive Integral Operators for Signal Separation.IEEE SIGNAL PROCESSING LETTERS,22(9),1383-1387.
MLA Hu, Xiyuan,et al."Adaptive Integral Operators for Signal Separation".IEEE SIGNAL PROCESSING LETTERS 22.9(2015):1383-1387.

入库方式: OAI收割

来源:自动化研究所

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