Research of the Rolling Bearing Fault Feature Extraction Technology based on the Wavelet Noise Reduction and RSSD by Chen Baojia, Yan Wenchao, Wu Zhiping, Zhu Chenxi

“…The rolling bearing fault vibration signals are nonlinear and non- stationary and have strong noise background,in order to extract the fault feature effectively,a feature extraction technology which combines wavelet denoising and resonance- based sparse signal decomposition（ RSSD） is proposed. …”
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Wavelet and Network Analysis of Magnetic Field Variation and Geomagnetically Induced Currents During Large Storms by L. Orr, S. C. Chapman, C. D. Beggan

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A New Wavelet Method for Solving a Class of Nonlinear Volterra-Fredholm Integral Equations by Xiaomin Wang

“…A new approach, Coiflet-type wavelet Galerkin method, is proposed for numerically solving the Volterra-Fredholm integral equations. …”
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Beam-like damage detection methodology using wavelet damage ratio and additional roving mass by Juliana C. Santos, Marcus V. G. de Morais, Marcela R. Machado, Ramon Silva, Erwin U. L. Palechor, Welington V. Silva

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Rolling-Element Bearing Fault Data Automatic Clustering Based on Wavelet and Deep Neural Network by Yanli Yang, Peiying Fu

“…A method based on wavelet and deep neural network for rolling-element bearing fault data automatic clustering is proposed. …”
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Composite fault feature extraction for gears based on MCKD-EWT adaptive wavelet threshold noise reduction by Yanchang LV, Jingyue Wang, Chengqiang Zhang, Jianming Ding

“…Aiming at fault feature extraction and separation, an adaptive threshold denoising fault detection method based on Maximum correlated kurtosis deconvolution (MCKD) and Empirical wavelet transform (EWT) is proposed. Firstly, envelope entropy and information entropy are used as fitness functions, and the parameters of the MCKD algorithm are optimized by the improved particle swarm algorithm, then the empirical wavelet decomposition is carried out on the signals, and finally adaptive wavelet threshold denoising is carried out on the decomposed Intrinsic mode functions (IMFs) components. …”
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Enhancement Infrared-Visible Image Fusion Using the Integration of Stationary Wavelet Transform and Fuzzy Histogram Equalization by Rusul Basheer Khazal, Nada Jasim Habeeb

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Research on acoustic emission precursor characteristics of coal sample unloading failure based on discrete wavelet analysis by Shaojie Ma, Yan Zhou, Depeng Ma

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ULTRASONIC SIGNAL FEATURE EXTRACTION METHOD BASED ON GENERAL CROSS-VALIDATION THRESHOLDING IN SYNCHROSQUEEZING WAVELET DOMAIN by XIAO ChangMing, XIAO Han, YI CanCan

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Pyramidal Watershed Segmentation Algorithm for High-Resolution Remote Sensing Images Using Discrete Wavelet Transforms by K. Parvathi, B. S. Prakasa Rao, M. Mariya Das, T. V. Rao

“…In this paper, an efficient segmentation method for high-resolution remote sensing image analysis is presented. Wavelet analysis is one of the most popular techniques that can be used to detect local intensity variation and hence the wavelet transformation is used to analyze the image. …”
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Study on On-line Detection Method of Heavy Duty Truck Gearbox Assembly Quality based on Wavelet Analysis by Zheng Zou, Rupeng Cao, Qing Qu, Zhezhan Tang, Kangqu Zhou, Wei Chen

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Numerical Solutions for the Eighth-Order Initial and Boundary Value Problems Using the Second Kind Chebyshev Wavelets by Xiaoyong Xu, Fengying Zhou

“…A collocation method based on the second kind Chebyshev wavelets is proposed for the numerical solution of eighth-order two-point boundary value problems (BVPs) and initial value problems (IVPs) in ordinary differential equations. …”
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Low Mismatch Key Agreement Based on Wavelet-Transform Trend and Fuzzy Vault in Body Area Network by Yang Wu, Yongmei Sun, Lei Zhan, Yuefeng Ji

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Long Short-Term Memory and Discrete Wavelet Transform based Univariate Stock Market Prediction Model by Mutasem Jarrah

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Estudo da Transformada Wavelet Contínua para análise de sinais EEG normais e ictais by Thiago Bastos da Silva, Sílvia Mara da Costa Campos

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Research of Wavelet Neural Network State Degradation Prediction of Rolling Bearing New Time Domain Index by Li Wenfeng, Xu Aiqiang, Sun Jijie, Fan Fuqin

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Monitoring the Maize Canopy Chlorophyll Content Using Discrete Wavelet Transform Combined with RGB Feature Fusion by Wenfeng Li, Kun Pan, Yue Huang, Guodong Fu, Wenrong Liu, Jizhong He, Weihua Xiao, Yi Fu, Jin Guo

“…To evaluate the accuracy of Discrete Wavelet Transform (DWT) in monitoring the chlorophyll (CHL) content of maize canopies based on RGB images, a field experiment was conducted in 2023. …”
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EARLY FAULT DIAGNOSIS OF ROLLING BEARING BASED ON WAVELET PACKET TRANSFORM ADAPTIVE TEAGER ENERGY SPECTRUM by WANG ChaoGe, REN XuePing, SUN BaiYi, WANG JianGuo

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Integer wavelet transform‐based secret image sharing using rook polynomial and hamming code with authentication by Sara Charoghchi, Zahra Saeidi, Samaneh Mashhadi

“…In order to make the scheme robust to steganalysis, the shadow image is embedded in coefficients of Integer wavelet transform of the cover image. Using Rook polynomial makes the scheme more secure and moreover makes authentication very easy and with no need to share private key to participants. …”
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A Hybrid Approach of Using Wavelets and Fuzzy Clustering for Classifying Multispectral Florescence In Situ Hybridization Images by Yu-Ping Wang, Ashok Kumar Dandpat

“…The approach is based on the combination of fuzzy clustering and wavelet normalization. Two wavelet-based algorithms are used to reduce redundancies and to correct misalignments between multichannel FISH images. …”
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