Multisynchrosqueezing Transform
Time-frequency (TF) analysis (TFA) method is an important tool in industrial engineering fields. However, restricted to Heisenberg uncertainty principle or unexpected cross terms, the classical TFA methods often generate blurry TF representation, which heavily hinder its engineering applications. Ho...
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| Published in | IEEE transactions on industrial electronics (1982) Vol. 66; no. 7; pp. 5441 - 5455 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
IEEE
01.07.2019
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| Subjects | |
| Online Access | Get full text |
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| Abstract | Time-frequency (TF) analysis (TFA) method is an important tool in industrial engineering fields. However, restricted to Heisenberg uncertainty principle or unexpected cross terms, the classical TFA methods often generate blurry TF representation, which heavily hinder its engineering applications. How to generate the concentrated TF representation for a strongly time-varying signal is a challenging task. In this paper, we propose a new TFA method to study the nonstationary features of strongly time-varying signals. The proposed method is based on synchrosqueezing transform and employs an iterative reassignment procedure to concentrate the blurry TF energy in a stepwise manner, meanwhile retaining the signal reconstruction ability. Two implementations of the discrete algorithm are provided, which show that the proposed method has limited computational burden and has potential in real-time application. Moreover, we introduce an effective algorithm to detect the instantaneous frequency trajectory, which can be used to decompose monocomponent modes. Numerical and real-world signals are employed to validate the effectiveness of the proposed method by comparing with some advanced methods. By comparisons, it is shown that the proposed method has the better performance in addressing strongly time-varying signals and noisy signals. |
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| AbstractList | Time-frequency (TF) analysis (TFA) method is an important tool in industrial engineering fields. However, restricted to Heisenberg uncertainty principle or unexpected cross terms, the classical TFA methods often generate blurry TF representation, which heavily hinder its engineering applications. How to generate the concentrated TF representation for a strongly time-varying signal is a challenging task. In this paper, we propose a new TFA method to study the nonstationary features of strongly time-varying signals. The proposed method is based on synchrosqueezing transform and employs an iterative reassignment procedure to concentrate the blurry TF energy in a stepwise manner, meanwhile retaining the signal reconstruction ability. Two implementations of the discrete algorithm are provided, which show that the proposed method has limited computational burden and has potential in real-time application. Moreover, we introduce an effective algorithm to detect the instantaneous frequency trajectory, which can be used to decompose monocomponent modes. Numerical and real-world signals are employed to validate the effectiveness of the proposed method by comparing with some advanced methods. By comparisons, it is shown that the proposed method has the better performance in addressing strongly time-varying signals and noisy signals. |
| Author | Zhao, Ping Wang, Zhonghua Yu, Gang |
| Author_xml | – sequence: 1 givenname: Gang orcidid: 0000-0003-0665-7620 surname: Yu fullname: Yu, Gang email: yugang2010@163.com organization: School of Electrical Engineering, University of Jinan, Jinan, China – sequence: 2 givenname: Zhonghua surname: Wang fullname: Wang, Zhonghua email: cse_wzh@ujn.edu.cn organization: School of Electrical Engineering, University of Jinan, Jinan, China – sequence: 3 givenname: Ping surname: Zhao fullname: Zhao, Ping email: cse_zhaop@ujn.edu.cn organization: School of Electrical Engineering, University of Jinan, Jinan, China |
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| CODEN | ITIED6 |
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| Cites_doi | 10.1109/TIE.2017.2696503 10.1109/TIM.2011.2124770 10.1109/TSP.2013.2276393 10.1016/j.acha.2010.08.002 10.1016/j.ymssp.2017.07.009 10.1109/JSEN.2017.2737467 10.1016/j.dsp.2014.09.008 10.1109/TIE.2012.2206331 10.1109/TSP.2017.2686355 10.1109/78.348139 10.1016/j.ymssp.2018.03.004 10.1109/78.740131 10.1016/j.ymssp.2015.04.021 10.1137/100798818 10.1016/j.ymssp.2011.07.001 10.1109/TSP.2014.2314061 10.1109/TIE.2018.2793271 10.1016/j.ymssp.2014.09.010 10.1109/TSP.2017.2656838 10.1109/TSP.2015.2391077 10.1109/TGRS.2015.2466660 10.1109/TIM.2013.2283552 10.1109/MSP.2013.2265316 10.1016/j.ymssp.2010.07.017 10.1016/j.acha.2016.11.001 10.1109/TIE.2014.2355816 10.1109/TIM.2016.2613359 10.1109/78.382394 |
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| SubjectTerms | Fourier transforms Frequency modulation Multisynchrosqueezing transform Signal reconstruction Time-frequency analysis time-frequency analysis (TFA) Trajectory |
| Title | Multisynchrosqueezing Transform |
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