| Multi-operator Based Signal Separation Approach | |
Guo BK(郭宝奎)1 ; Silong Peng1; Xiyuan Hu1; Pengcheng Xu2
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| 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. |
| Files in This Item: | Download All | |||||
| File Name/Size | DocType | Version | Access | License | ||
| [DSP2016]page039.pdf（561KB） | 会议论文 | 开放获取 | CC BY-NC-SA | View Download | ||
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