Theoretical analysis of the second-order synchrosqueezing transform

被引:125
|
作者
Behera, Ratikanta [1 ]
Meignen, Sylvain [1 ]
Oberlin, Thomas [2 ]
机构
[1] Univ Grenoble Alpes, Jean Kuntzmann Lab, 700 Ave Cent,Domaine Univ St Martin dHeres, F-38401 Grenoble, France
[2] INP ENSEEIHT Toulouse, 2 Rue Charles Camichel,BP 7122, F-31071 Toulouse 7, France
关键词
Time-frequency analysis; Synchrosqueezing transform; Multicomponent signals; TIME-FREQUENCY REASSIGNMENT; MODE DECOMPOSITION; REPRESENTATIONS; ENHANCEMENT; ALGORITHM; SPECTRUM; SIGNALS;
D O I
10.1016/j.acha.2016.11.001
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We consider in this article the analysis of multicomponent signals, defined as superpositions of modulated waves also called modes. More precisely, we focus on the analysis of a variant of the second-order synchrosqueezing transform, which was introduced recently, to deal with modes containing strong frequency modulation. Before going into this analysis, we revisit the case where the modes are assumed to be with weak frequency modulation as in the seminal paper of Daubechies et al. [8], to show that the constraint on the compactness of the analysis window in the Fourier domain can be alleviated. We also explain why the hypotheses made on the modes making up the multicomponent signal must be different when one considers either wavelet or short-time Fourier transform-based synchrosqueezing. The rest of the paper is devoted to the theoretical analysis of the variant of the second order synchrosqueezing transform [16] and numerical simulations illustrate the performance of the latter. (C) 2016 Elsevier Inc. All rights reserved.
引用
收藏
页码:379 / 404
页数:26
相关论文
共 50 条
  • [1] THE SECOND-ORDER WAVELET SYNCHROSQUEEZING TRANSFORM
    Oberlin, T.
    Meignen, S.
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2017, : 3994 - 3998
  • [2] A Second-Order Synchrosqueezing Transform with a Simple Form of Phase Transformation
    Lu, Jian
    Alzahrani, Jawaher H.
    Jiang, Qingtang
    [J]. NUMERICAL MATHEMATICS-THEORY METHODS AND APPLICATIONS, 2021, 14 (03) : 624 - 649
  • [3] Second-order Time-Reassigned Synchrosqueezing Transform: Application to Draupner Wave Analysis
    Fourer, Dominique
    Auger, Francois
    [J]. 2019 27TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2019,
  • [4] Spectrogram-based synchrosqueezing transform and its second-order version
    Yu, Gang
    [J]. 2019 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-QINGDAO), 2019,
  • [5] Second-Order Horizontal Multi-Synchrosqueezing Transform for Hydrocarbon Reservoir Identification
    Fang, Yuxia
    Hu, Ying
    Li, Mengyuan
    Chen, Hui
    Chen, Xuping
    Li, Jun
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
  • [6] A Bilateral Second-Order Synchrosqueezing Transform and Application to Vibration Monitoring of Aerospace Engine
    Chen, Zhenyi
    Zi, Yanyang
    Xiao, Zhongmin
    Wang, Yu
    Qing, Shun
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 70
  • [7] Chirp Rate Estimation of LFM Signals Based on Second-Order Synchrosqueezing Transform
    Zhai, Gangyi
    Zhou, Jianjiang
    Yu, Kanglin
    Li, Jiangtao
    [J]. ELECTRONICS, 2023, 12 (24)
  • [8] Second-order Synchrosqueezing Modified S Transform for wind turbine fault diagnosis
    Yi, Cancan
    Qin, Jiaqi
    Xiao, Han
    Zhou, Tong
    [J]. APPLIED ACOUSTICS, 2022, 189
  • [9] POWER SYSTEM HARMONIC DETECTION BASED ON SECOND-ORDER SYNCHROSQUEEZING WAVELET TRANSFORM
    Di Qi
    Wang Wenbo
    Gu Quan
    Qian Long
    Jin Yun-yu
    [J]. INTERNATIONAL JOURNAL OF POWER AND ENERGY SYSTEMS, 2018, 38 (04): : 144 - 151
  • [10] Reassigned second-order Synchrosqueezing Transform and its application to wind turbine fault diagnosis
    Yi, Cancan
    Yu, Zhaohong
    Lv, Yong
    Xiao, Han
    [J]. RENEWABLE ENERGY, 2020, 161 : 736 - 749