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  1. 1

    Detection of uniaxial fatigue stress under magnetic flux leakage signals using Morlet wavelet by S.M. Firdaus, A. Arifin, S. Abdullah, S.S.K. Singh, N. Md Nor

    Published 2022-07-01
    “…This paper demonstrates the application of continuous wavelet transform technique for magnetic flux leakage signal generated during a uniaxial fatigue test. …”
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    Article
  2. 2

    FEATURE EXTRACTION METHOD OF SOUND SIGNAL TO ROLLING BEARING BASED ON BLIND SOURCE SEPARATION AND MORLET WAVELET by LI JingJiao, CHEN EnLi, LIU YongQiang

    Published 2018-01-01
    “…It is a new method of sound signal testing and analysis,but the SNR is too low,so we raise a feature extraction method of sound signal to rolling bearing based on blind source separation and adaptive Morlet wavelet. …”
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    Article
  3. 3

    The Adaptive Analysis of Shock Signals on the Basis of Improved Morlet Wavelet Clusters by Haikun Yang, Hong-Xia Pan

    Published 2018-01-01
    “…Morlet wavelets do not satisfy the permissibility condition of wavelet analysis, and there are therefore no inverse transformations for Morlet wavelet transforms. …”
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  4. 4

    Morlet Wavelets in Quantum Mechanics by John Ashmead

    Published 2012-11-01
    “…But to take full advantage of Morlet wavelets we need to supply an explicit form for the inverse Morlet transform and a manifestly covariant form for the four-dimensional Morlet wavelet. …”
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    Article
  5. 5

    Morlet Wavelet Neural Networks-Based Intelligent Approach to Analyze the Impact of Aligned Magnetic Field on a Nanofluid Thin Film Flow With Irreversibility Analysis and Chemical R... by Muhammad Ramzan, Xiangning Zhou, Abdulkafi Mohammed Saeed, C. Ahamed Saleel, Ibtehal Alazman, W. S. Koh, Seifedine Kadry

    Published 2025-01-01
    “…The MW function transforms the ODEs into an artificial NNs-based fitness function and then particle swarm optimization (PSO) is used for optimal fitness values. …”
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    Article
  6. 6

    Research on Fault Detection Technology for Circuit Breaker Operating Mechanism Combinations Based on Deep Residual Networks by Hongping Shao, Yizhe Jiang, Jianeng Zhao, Xueteng Li, Mingzhan Zhang, Mingkun Yang, Xinyu Wang, Hao Yang

    Published 2025-02-01
    “…This study employs the Morlet wavelet transform to convert the current and displacement signals in the time series into time-frequency spectrograms. …”
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    Article
  7. 7

    Spectrum Analysis of Signal in Wolfram Mathematica System by M. A. Hundzina

    Published 2021-04-01
    “…Spectral analysis of the signal is constructed by means of the Fourier transform. …”
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    Article
  8. 8

    Applications and Comparison of Continuous Wavelet Transforms on Analysis of A-wave Impulse Noise by Jun QIN, Pengfei SUN

    Published 2015-09-01
    “…This study focuses on the analysis of A-wave impulse noise in the T-F domain using continual wavelet transforms. …”
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    Article
  9. 9

    Estimation of seasonal changes in the frequency characteristics of wind speed and direction in coastal Dagestan, Russia by D. N. Kobzarenko, A. M. Kamilova, B. D. Pashtaev

    Published 2021-01-01
    “…As a mathematical research tool, a continuous wavelet transform with a complex Morlet wavelet function was used.Results. …”
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    Article
  10. 10

    Improved empirical wavelet transform combined with particle swarm optimization-support vector machine for EEG-based depression recognition by Yongxin Wang, Longqi Xu, Hongxu Qian, Haijun Lin, Xuhui Zhang

    Published 2024-12-01
    “…The EWT is refined based on the Morlet wavelet, which allows for the precise decomposition of EEG rhythms. …”
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    Article
  11. 11

    INTELLIGENT TECHNOLOGY OF WAVELET ANALYSIS OF VIBRATION SIGNALS by A. V. Gulai, V. M. Zaitsev

    Published 2019-12-01
    “…This requires the use of wavelet-transformation oscillation methods and introduction of intelligent systems to hardware and software used in the experiment. …”
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    Article
  12. 12

    Integration of Machine Learning and Wavelet Algorithms for Processing Probing Signals: An Example of Oil Wells by Zukhra Abdiakhmetova, Zhanerke Temirbekova

    Published 2025-01-01
    “…The wavelet transform, particularly the Daubechies, Morlet, and Galerkin wavelets, is employed to decompose signals into different frequency components while preserving time-domain information. …”
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  13. 13

    Quantification of Subsurface Hydrological Connectivity Using Wavelet Coherence Analysis by REN Ruijie, Fan Bihang, ZHANG Yaling, WANG Erqing, YANG Ruxin, HAN Xiaole, LIU Jintao, GUO Li

    Published 2025-01-01
    “…Firstly, Continuous Wavelet Transform (CWT) was applied to extend the soil moisture time series into the time-frequency domain, using the Morlet wavelet as the mother wavelet due to its optimal time-frequency localization for hydrological signals. …”
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    Article
  14. 14

    Comparative Study of Time-Frequency Decomposition Techniques for Fault Detection in Induction Motors Using Vibration Analysis during Startup Transient by Paulo Antonio Delgado-Arredondo, Arturo Garcia-Perez, Daniel Morinigo-Sotelo, Roque Alfredo Osornio-Rios, Juan Gabriel Avina-Cervantes, Horacio Rostro-Gonzalez, Rene de Jesus Romero-Troncoso

    Published 2015-01-01
    “…The studied methodologies are the time-frequency distribution of Gabor (TFDG), the time-frequency Morlet scalogram (TFMS), multiple signal classification (MUSIC), and fast Fourier transform (FFT). …”
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    Article
  15. 15

    Shaking Table Tests for Seismic Response of Orthogonal Overlapped Tunnel under Horizontal Seismic Loading by Honggang Wu, Hao Lei, Tianwen Lai

    Published 2021-01-01
    “…In particular, the time- and frequency-domain characteristics of the key parts of the tunnel were discussed in detail by using the continuous wavelet transform (CWT) based on the Morlet wavelet as the basis function. …”
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    Article
  16. 16

    Periodic Variation of Solar Flare Index for the Last Solar Cycle (Cycle 24) by Atila Ozguc, Ali Kilcik, Volkan Sarp, Hülya Yeşilyaprak, Rıza Pektaş

    Published 2021-01-01
    “…In this study, the periodic variations of abovementioned three categories FI data sets were investigated by using the MTM and Morlet wavelet analysis methods. The wavelet coherence (XWT) and cross wavelet (WTC) analysis methods were also performed between these data sets. …”
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    Article