Multi-operator Based Signal Separation Approach | |
Guo BK(郭宝奎)1![]() ![]() ![]() | |
2016 | |
Conference Name | International Conference on Digital Signal Processing (DSP) |
Conference Date | 2016-10 |
Conference Place | 北京国际会议中心 |
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. In this paper, we introduce a multi-operator based strategy and propose multi-operator based null space pursuit (MONSP) algorithm for signal separation. On the one hand, the proposed approach is a generalized formulation of the original work in some sense. On the other hand, compared with the NSP, the proposed approach has its intrinsic advantages: 1), the proposed approach avoids the mode-mixing problems which is often meet in NSP algorithm; 2), the multi-operator based formulation could theoretically reach the ideal separation resolution for the noise-free signal separation; 3), the MONSP algorithm does not need to initialize parameters in each iteration. We perform several experiments on synthetic and real-life signal separation by MONSP and compare some results with the stateof- the-art methods to demonstrate the efficiency and robustness of the proposed method. |
Keyword | Signal Separation Null Space Pursuit Multi-operator Based Approach Empirical Mode Decomposition Amplitude-modulated And Frequency-modulated Signal |
DOI | 10.1109/ICDSP.2016.7868511 |
Indexed By | EI |
Citation statistics | |
Document Type | 会议论文 |
Identifier | http://ir.ia.ac.cn/handle/173211/14438 |
Collection | 智能制造技术与系统研究中心_多维数据分析 |
Affiliation | 1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China |
First Author Affilication | Institute of Automation, Chinese Academy of Sciences |
Recommended Citation GB/T 7714 | Guo BK,Silong Peng,Xiyuan Hu,et al. Multi-operator Based Signal Separation Approach[C],2016. |
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[DSP2016]page039.pdf(561KB) | 会议论文 | 开放获取 | CC BY-NC-SA | View Download |
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