Time frequency representations of signals: STFT, Wigner-Ville & Wavelet Transformation

被引:0
|
作者
Lee, JH [1 ]
Kim, J [1 ]
Kim, HJ [1 ]
机构
[1] Univ Cincinnati, Struct Dynam Res Lab, Cincinnati, OH 45221 USA
关键词
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Short Time Fourier Transform (STFT), Wigner-Ville Distribution Function (WDF), and Wavelet Transform are applied to an identical set of highly transient signal, which results in three different types of time-frequency representations. Representations from STFT are used for reference to compare other results with, utilizing the fact that practical and theoretical aspects of the technique are well understood. Equivalent formats are used for all representations, which makes more direct comparisons of the results possible. While many reports are found on the latter two techniques on theoretical or numerical aspects of the techniques, practical application of the techniques is rarely discussed, which is the main the purpose of this study. By comparing three techniques, insights necessary to apply them for engineering purposes are obtained. A procedure is suggested for effective analysis of transient signals.
引用
收藏
页码:264 / 270
页数:7
相关论文
共 50 条
  • [41] Time-frequency image enhancement based on interference suppression in Wigner-Ville distribution
    Khan, Nabeel Ali
    Sandsten, Maria
    [J]. SIGNAL PROCESSING, 2016, 127 : 80 - 85
  • [42] Ultrasonic characterisation of elastic material using the analysis of time-frequency of Wigner-Ville
    Latif, R
    Latif, R
    Assif, E
    Moudden, A
    Faiz, B
    [J]. ACTA ACUSTICA UNITED WITH ACUSTICA, 2003, 89 (02) : 253 - 257
  • [43] Parameters definition for the windowed and smooth windowed Wigner-Ville distribution of time-varying signals
    Sha'ameri, HZ
    [J]. ISSPA 2001: SIXTH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, VOLS 1 AND 2, PROCEEDINGS, 2001, : 573 - 576
  • [44] Time-frequency analysis of FSK digital modulation signals using the smooth lag-windowed Wigner-Ville distribution
    Sha'ameri, AZ
    [J]. SEVENTH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, VOL 1, PROCEEDINGS, 2003, : 593 - 596
  • [45] Combination of Wigner-Ville distribution and its application to blind parameter estimation of frequency-hopping signals
    Feng, Tao
    Yuan, Chao-Wei
    [J]. Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University, 2010, 37 (06): : 1137 - 1142
  • [46] A HYBRID DIAGNOSTIC METHOD BASED ON WIGNER-VILLE DISTRIBUTION AND WAVELET PACKET TRANSFORM
    Tian, Wei
    Yan, Ru-Qiang
    Gao, Robert X.
    [J]. PROCEEDINGS OF THE 2010 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, 2010, : 386 - 391
  • [47] Instantaneous frequency estimation of quadratic and cubic FM signals using the cross polynomial Wigner-Ville distribution
    Ristic, B
    Boashash, B
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1996, 44 (06) : 1549 - 1553
  • [48] IDENTIFICATION OF NOISE SOURCES IN AUTOMOBILE ENGINES - CHARACTERIZATION BY WIGNER-VILLE TIME-FREQUENCY ANALYSIS
    CHIOLLAZ, M
    DOLIGEZ, T
    FLANDRIN, P
    FAVRE, B
    HERRMANN, M
    AOUICHI, A
    BAUDET, B
    [J]. JOURNAL DE PHYSIQUE, 1990, 51 (C2): : 741 - 744
  • [49] Time-frequency distribution of HRV signal by Wigner-Ville spectral analysis in MI patients
    Naidu, VPS
    [J]. IETE TECHNICAL REVIEW, 2001, 18 (05): : 361 - 364
  • [50] Logarithmic Uncertainty Relations for Odd or Even Signals Associate with Wigner-Ville Distribution
    Cao, Yu-Jing
    Li, Bing-Zhao
    Li, Yong-Gang
    Chen, Yi-Hong
    [J]. CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2016, 35 (07) : 2471 - 2486