CASIA OpenIR  > 智能制造技术与系统研究中心  > 多维数据分析
Multi-operator Based Signal Separation Approach
Guo BK(郭宝奎)1; Silong Peng1; Xiyuan Hu1; Pengcheng Xu2
2016
Conference NameInternational Conference on Digital Signal Processing (DSP)
Conference Date2016-10
Conference Place北京国际会议中心
AbstractThe 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.
KeywordSignal Separation Null Space Pursuit Multi-operator Based Approach Empirical Mode Decomposition Amplitude-modulated And Frequency-modulated Signal
DOI10.1109/ICDSP.2016.7868511
Indexed ByEI
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Document Type会议论文
Identifierhttp://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
Affiliation1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China
First Author AffilicationInstitute 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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