Showing 61 - 80 results of 610 for search '"wavelet"', query time: 0.06s Refine Results
  1. 61

    Locomotive Gear Fault Diagnosis Based on Wavelet Bispectrum of Motor Current by Mingming Zhang, Jiangtian Yang, Zhang Zhang

    Published 2021-01-01
    “…Furthermore, a fault diagnostic approach for locomotive gears using the wavelet bispectrum and wavelet bispectral entropy is suggested. …”
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    Article
  2. 62

    A Class of Weak Dual Wavelet Frames for Reducing Subspaces of Sobolev Spaces by Jianping Zhang

    Published 2022-01-01
    “…In recent years, dual wavelet frames derived from a pair of refinable functions have been widely studied by many researchers. …”
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    Article
  3. 63

    Economic Policy Uncertainty and Stock Returns of Africa: A Wavelet Coherence Analysis by Emmanuel Asafo-Adjei, Daniel Agyapong, Samuel Kwaku Agyei, Siaw Frimpong, Reginald Djimatey, Anokye M. Adam

    Published 2020-01-01
    “…The study employed daily data from December 2010 to December 2019 using wavelet coherence analysis. The results showed that global EPU comoves with most of the SR of African markets and was concentrated in the longer term, especially during the period between 2011 and 2019, although not substantially. …”
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    Article
  4. 64

    Solving Fuzzy Volterra Integrodifferential Equations of Fractional Order by Bernoulli Wavelet Method by R. Mastani Shabestari, R. Ezzati, T. Allahviranloo

    Published 2018-01-01
    “…A matrix method called the Bernoulli wavelet method is presented for numerically solving the fuzzy fractional integrodifferential equations. …”
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    Article
  5. 65
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  7. 67

    An Overview of Composite Standard Elastic-Net Distribution Based on Complex Wavelet Coefficients by Tahani A. Aloafi, Hassan M. Aljohani

    Published 2022-01-01
    “…The reason why this model is used is that wavelet tools have different levels of resolution. …”
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    Article
  8. 68

    Denoising of Mechanical Vibration Signals Using Quantum-Inspired Adaptive Wavelet Shrinkage by Yan-long Chen, Pei-lin Zhang, Bing Li, Ding-hai Wu

    Published 2014-01-01
    “…The potential application of a quantum-inspired adaptive wavelet shrinkage (QAWS) technique to mechanical vibration signals with a focus on noise reduction is studied in this paper. …”
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    Article
  9. 69

    Improved Continuous Wavelet Transform for Modal Parameter Identification of Long-Span Bridges by Mingjin Zhang, Xu Huang, Yongle Li, Hao Sun, Jingyu Zhang, Bin Huang

    Published 2020-01-01
    “…In this article, based on wavelet ridges and wavelet skeleton, the improved modal parameter identification method was studied. …”
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    Article
  10. 70

    A Modified Algorithm Based on Haar Wavelets for the Numerical Simulation of Interface Models by Gule Rana, Muhammad Asif, Nadeem Haider, Rubi Bilal, Muhammad Ahsan, Qasem Al-Mdallal, Fahd Jarad

    Published 2022-01-01
    “…The proposed technique comprises of the Haar wavelet collocation method and the finite difference method. …”
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    Article
  11. 71

    Multi-Resolution Wavelet-Transformed Image Analysis of Histological Sections of Breast Carcinomas by Hae-Gil Hwang, Hyun-Ju Choi, Byeong-Il Lee, Hye-Kyoung Yoon, Sang-Hee Nam, Heung-Kook Choi

    Published 2005-01-01
    “…Multi-resolution images of histological sections of breast cancer tissue were analyzed using texture features of Haar- and Daubechies transform wavelets. Tissue samples analyzed were from ductal regions of the breast and included benign ductal hyperplasia, ductal carcinoma in situ (DCIS), and invasive ductal carcinoma (CA). …”
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    Article
  12. 72

    Analysis of Geometries' Effects on Rotating Stall in Vaneless Diffuser with Wavelet Neural Networks by Chuang Gao, Chuangang Gu, Tong Wang, Bo Yang

    Published 2007-01-01
    “…Wavelet neural network (WNN), which combines the capability of neural network in learning from process and that of wavelet decomposition, was used to study geometry factors on rotating stall in vaneless diffusers. …”
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    Article
  13. 73

    Wavelet Based Demodulation of Vibration Signals Generated by Defects in Rolling Element Bearings by C.T. Yiakopoulos, I.A. Antoniadis

    Published 2002-01-01
    “…The choice of the specific wavelet family is marginal to their overall effect, while the necessary number of wavelet levels is quite limited. …”
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    Article
  14. 74

    Orthogonal Wavelet Transform-Based Gaussian Mixture Model for Bearing Fault Diagnosis by Weipeng Li, Yan Cao, Lijuan Li, Siyu Hou

    Published 2023-01-01
    “…Orthogonal wavelet transform selects the appropriate orthogonal wavelet function to transform so that the local characteristics of the signal in the time domain and frequency domain can be specifically described and the feature information of the original data can be mastered more effectively. …”
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    Article
  15. 75

    Using Wavelets to Understand the Relationship between Mortgages and Gross Domestic Product in Spain by C. González-Concepción, M. C. Gil-Fariña, C. Pestano-Gabino

    Published 2012-01-01
    “…We use wavelet multiresolution decomposition and cross-wavelet analysis to reveal certain properties in financial data related to mortgages to households and gross domestic product data in Spain. …”
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    Article
  16. 76

    Couple of the Variational Iteration Method and Legendre Wavelets for Nonlinear Partial Differential Equations by Fukang Yin, Junqiang Song, Xiaoqun Cao, Fengshun Lu

    Published 2013-01-01
    “…This paper develops a modified variational iteration method coupled with the Legendre wavelets, which can be used for the efficient numerical solution of nonlinear partial differential equations (PDEs). …”
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    Article
  17. 77
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    A wavelet-based despiking algorithm for large data of structural health monitoring by Yun-Xia Xia, Yi-Qing Ni

    Published 2018-12-01
    “…The hypothesis testing and algorithm of searching wavelet modulus maxima chain are incorporated into the spike-detection procedure. …”
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    Article
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    Design Methodology of a New Wavelet Basis Function for Fetal Phonocardiographic Signals by Vijay S. Chourasia, Anil Kumar Tiwari

    Published 2013-01-01
    “…Successful implementation of wavelet theory in denoising is heavily dependent on selection of suitable wavelet basis function. …”
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    Article