Enhancing Time-Frequency Concentration and Accuracy Using an Improved Time-Frequency Synchrosqueezing Transform

被引:0
|
作者
Yang, Yaocheng [1 ]
Zhang, Jialiang [1 ]
Li, Yifan [1 ,2 ]
Ni, Qing [3 ]
Wang, Biao [2 ]
机构
[1] Southwest Jiaotong Univ, Sch Mech Engn, Chengdu 610031, Peoples R China
[2] Beijing Jiaotong Univ, State Key Lab Adv Rail Autonomous Operat, Beijing 100044, Peoples R China
[3] Univ Technol Sydney, Sch Mech & Mechatron Engn, Sydney, NSW 2007, Australia
基金
中国国家自然科学基金;
关键词
Component segmentation; instantaneous frequency (IF); nonlinear frequency modulation signal; synchrosqueezing transform (SST); time-frequency analysis (TFA); REASSIGNMENT; ALGORITHM; SIGNALS;
D O I
10.1109/JSEN.2024.3472870
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The synchrosqueezing transform (SST) improves the readability of time-frequency representation (TFR). The time-frequency multisqueezing transform (TFMST) is the most advanced SST method to date. It combines the advantages of frequency-reassigned SST (FSST) for harmonic-like components and time-reassigned SST (TSST) for impulsive-like components, thereby significantly enhancing the quality of TFR. In segmenting the original signal into harmonic-like and impulsive-like components, TFMST applies the standard of equal time-frequency concentration in both the frequency and time directions. However, achieving equal time-frequency concentration does not guarantee equal accuracy in these directions, which may lead to the misidentification of harmonic-like and impulsive-like components. Using TSST for harmonic-like components and FSST for impulsive-like components can result in time-frequency blurring. In addition, the strategy of first segmenting the signal into two components and then applying squeezing in TFMST can cause frequency oscillations at the segmentation boundaries. To achieve precise segmentation of impulsive-like and harmonic-like components and to produce a high-quality TFR, this article proposes an improved time-frequency synchrosqueezing transform (ITFST). ITFST features a more accurate segmentation standard and a more effective squeezing strategy. The former achieves precise segmentation of harmonic-like and impulsive-like components by ensuring equal reassignment accuracy in both the frequency and time directions. The latter first employs synchrosqueezing before segments the TFR to avoid processing truncated signals and effectively eliminates frequency oscillations at the segmentation boundaries. The effectiveness of ITFST is demonstrated through simulations and experiments, and its exceptional performance is thoroughly analyzed and discussed.
引用
收藏
页码:39334 / 39343
页数:10
相关论文
共 50 条
  • [1] A generalized synchrosqueezing transform for enhancing signal time-frequency representation
    Li, Chuan
    Liang, Ming
    SIGNAL PROCESSING, 2012, 92 (09) : 2264 - 2274
  • [2] Time-Frequency Analysis of Seismic Data Using Synchrosqueezing Transform
    Wang, Ping
    Gao, Jinghuai
    Wang, Zhiguo
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2014, 11 (12) : 2042 - 2044
  • [3] Bearing Fault Diagnosis Using Time-Frequency Synchrosqueezing Transform
    Yu, Lan
    2020 CHINESE AUTOMATION CONGRESS (CAC 2020), 2020, : 4260 - 4264
  • [4] Time-Frequency Analysis of Sunspot Numbers Using Synchrosqueezing Transform
    Lan, Yu
    Yu, Cao
    Song, Feng
    2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2017, : 5204 - 5208
  • [5] SPECTRAL DECOMPOSITION OF SEISMIC DATA WITH IMPROVED SYNCHROSQUEEZING TIME-FREQUENCY TRANSFORM
    Shang, Shuai
    Fu, Shengnan
    JOURNAL OF SEISMIC EXPLORATION, 2022, 31 (01): : 53 - 64
  • [6] Time-Frequency Reassignment and Synchrosqueezing
    Auger, Francois
    Flandrin, Patrick
    Lin, Yu-Ting
    McLaughlin, Stephen
    Meignen, Sylvain
    Oberlin, Thomas
    Wu, Hau-Tieng
    IEEE SIGNAL PROCESSING MAGAZINE, 2013, 30 (06) : 32 - 41
  • [7] Matching Demodulation Transform and SynchroSqueezing in Time-Frequency Analysis
    Wang, Shibin
    Chen, Xuefeng
    Cai, Gaigai
    Chen, Binqiang
    Li, Xiang
    He, Zhengjia
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2014, 62 (01) : 69 - 84
  • [8] Applications of the synchrosqueezing transform in seismic time-frequency analysis
    Herrera, Roberto H.
    Han, Jiajun
    van der Baan, Mirko
    GEOPHYSICS, 2014, 79 (03) : V55 - V64
  • [9] TIME-FREQUENCY ANALYSIS OF SEISMIC DATA USING SYNCHROSQUEEZING WAVELET TRANSFORM
    Chen, Yangkang
    Liu, Tingting
    Chen, Xiaohong
    Li, Jingye
    Wang, Erying
    JOURNAL OF SEISMIC EXPLORATION, 2014, 23 (04): : 303 - 312
  • [10] Seismic Time-Frequency Analysis Based on Time-Reassigned Synchrosqueezing Transform
    Bing, Pingping
    Liu, Wei
    Liu, Yang
    IEEE ACCESS, 2021, 9 : 133686 - 133693