A frequency measurement algorithm for non-stationary signals by using wavelet transform

被引:6
|
作者
Seo, Seong-Heon [1 ]
Oh, Dong Keun [1 ]
机构
[1] NFRI, KSTAR Res Ctr, Daejeon 34133, South Korea
来源
REVIEW OF SCIENTIFIC INSTRUMENTS | 2016年 / 87卷 / 11期
关键词
D O I
10.1063/1.4959945
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
Scalogram is widely used to measure instantaneous frequencies of non-stationary signals. However, the basic property of the scalogram is observed only for stationary sinusoidal functions. A property of the scalogram for non-stationary signal is analytically derived in this paper. Based on the property, a new frequency measurement algorithm is proposed. In addition, a filter that can separate two similar frequency signals is developed based on the wavelet transform. Published by AIP Publishing.
引用
收藏
页数:3
相关论文
共 50 条
  • [1] Time-Frequency Analysis of Non-Stationary Signals using Frequency Slice Wavelet Transform
    Subbarao, M. Venkata
    Samundiswary, P.
    [J]. PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND CONTROL (ISCO'16), 2016,
  • [2] Ambiguity Function of Non-Stationary Signals Using Wavelet Transform
    Shokouh, Reza Keyvan
    Alaee, Mohammad
    Okhovvat, Majid
    Amiri, Reza
    [J]. PROCEEDINGS OF THE 2010 IEEE ASIA PACIFIC CONFERENCE ON CIRCUIT AND SYSTEM (APCCAS), 2010, : 328 - 331
  • [3] Non-stationary distortion signals based on wavelet transform
    Yu, X. Y.
    Zhu, K. P.
    Zhao, Y. Q.
    [J]. INFORMATION SCIENCE AND ELECTRONIC ENGINEERING, 2017, : 431 - 435
  • [4] Non-stationary movement analysis using wavelet transform
    Kim, Cheol-Ki
    Lee, Hwa-Sei
    Lee, DoHoon
    [J]. INTELLIGENT COMPUTING IN SIGNAL PROCESSING AND PATTERN RECOGNITION, 2006, 345 : 976 - 981
  • [5] Analysis of multicomponent non-stationary signals by continuous wavelet transform method
    Prasad, K
    Sircar, P
    [J]. 2005 IEEE International Workshop on Intelligent Signal Processing (WISP), 2005, : 223 - 228
  • [6] Ordering analysis of non-stationary exhaust noise signals based on wavelet transform
    Liu, Haitao
    [J]. Zhendong yu Chongji/Journal of Vibration and Shock, 2019, 38 (22): : 29 - 35
  • [7] Comparison Between Non-stationary Signals Fast Fourier Transform and Wavelet Analysis
    Zhou, Shumin
    Tang, Bin
    Chen, Rui
    [J]. 2009 INTERNATIONAL ASIA SYMPOSIUM ON INTELLIGENT INTERACTION AND AFFECTIVE COMPUTING, 2009, : 128 - 129
  • [8] Wavelet Transform: A Mathematical Tool for Non-Stationary Signal Processing in Measurement Science
    Yan, Ruqiang
    Gao, Robert X.
    [J]. IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE, 2009, 12 (05) : 35 - 44
  • [9] NON-STATIONARY SIGNAL CLASSIFICATION USING THE UNDECIMATED WAVELET PACKET TRANSFORM
    Du Plessis, Marthinus C.
    Olivier, Jan C.
    [J]. PROCEEDINGS OF THE 2010 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, 2010, : 340 - 344
  • [10] Non-stationary Ship Motion Analysis Using Discrete Wavelet Transform
    Toshio, Iseki
    [J]. 12TH INTERNATIONAL CONFERENCE ON THE STABILITY OF SHIPS AND OCEAN VEHICLES (STAB2015), 2015, : 673 - 680