Fast Compressed Sensing MRI Based on Complex Double-Density Dual-Tree Discrete Wavelet Transform by Shanshan Chen, Bensheng Qiu, Feng Zhao, Chao Li, Hongwei Du

“…Due to the lack of translation invariance of the wavelet basis, undersampled MRI reconstruction based on discrete wavelet transform may result in serious artifacts. …”
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Effects of the Predominant Pulse on the Inelastic Displacement Ratios of Pulse-Like Ground Motions Based on Wavelet Analysis by Guochen Zhao, Jingzhou Zhu, Xingji Zhu, Longjun Xu

“…To investigate the influence of the predominant pulse on the inelastic displacement ratios of pulse-like ground motions, the wavelet analysis method is used to extract the predominant pulse. …”
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Improvement in Explicit Prediction of Water Quality Using Wavelet-Based LSSVR and M5pRT by Rashmi Bhardwaj, Aashima Bangia

“…It can be observed that wavelet denoised signals fed into the least squares support vector regression (LSSVR) and M5 prime regression tree (M5pRT) predicted more accurately on the basis of the performance errors that are as follows: (a) root mean squared error (RMSE); (b) mean squared error (MSE); (c) mean absolute error (MAE). …”
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Research on Water Quality Change and Prediction Based on Wavelet Analysis —— A Case Study of Guohe River by ZHAO Guizhang, WANG Shuli, LI Zhiping, GONG Jianshi, WANG Hesheng

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Solution of the Systems of Delay Integral Equations in Heterogeneous Data Communication through Haar Wavelet Collocation Approach by Hualing Wu, Rohul Amin, Asmatullah Khan, Shah Nazir, Sultan Ahmad

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Image Recognition Based on Two-Dimensional Principal Component Analysis Combining with Wavelet Theory and Frame Theory by Pingping Tao, Xiaoliang Feng, Chenglin Wen

“…The images are processed by wavelet transform. Then, the preprocessed image matrices are used to obtain the eigenvectors, and the eigenvectors are interpolated with frame, which makes more sufficient information in the frame theory and better extracts the features on the image. …”
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An Effective Gear Fault Diagnosis Method Based on Singular Value Decomposition and Frequency Slice Wavelet Transform by Fu-Cheng Zhou, Gui-Ji Tang, Yu-Ling He

“…The ability of the frequency slice wavelet transform (FSWT) to distinguish the fault feature is weak under the condition of strong background noise; in order to solve this problem, a fault feature extraction method combining the singular value decomposition (SVD) and FSWT was proposed. …”
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Diurnal and Daily Variations of PM2.5 and its Multiple-Wavelet Coherence with Meteorological Variables in Indonesia by Nani Cholianawati, Tiin Sinatra, Ginaldi Ari Nugroho, Didin Agustian Permadi, Asri Indrawati, Halimurrahman, Meta Kallista, Moch Syarif Romadhon, Ilma Fauziah Ma’ruf, Dipo Yudhatama, Tesalonika Angela Putri Madethen, Asif Awaludin

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Adaptive wavelet base selection for deep learning-based ECG diagnosis: A reinforcement learning approach. by Qiao Xiao, Chaofeng Wang

“…Electrocardiogram (ECG) signals are crucial in diagnosing cardiovascular diseases (CVDs). While wavelet-based feature extraction has demonstrated effectiveness in deep learning (DL)-based ECG diagnosis, selecting the optimal wavelet base poses a significant challenge, as it directly influences feature quality and diagnostic accuracy. …”
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Seismic Random Noise Suppression Using Optimal ANFIS as an Adaptive Self-Tuning Filter and Wavelet Thresholding by K. Geetha, Malaya Kumar Hota

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BA-ELM Gear Fault Diagnosis Method based on Energy Feature of Wavelet Packet Optimal Node by Qin Bo, Liu Yongliang, Wang Jianguo, Qin Yan, Yang Yunzhong

Subjects: “…Wavelet packet…”
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Fault Diagnosis Method of Planetary Gearbox based on Wavelet Time-frequency Diagram and Convolutional Neural Network by Jianhua Zhou, Pan Zheng, Shuaixing Wang, Shijing Wu, Xiaosun Wang

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Wavelet Decomposition-Based AVOA-DELM Model for Prediction of Monthly Runoff Time Series and Its Applications by ZHANG Yajie

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A Conjunction Method of Wavelet Transform-Particle Swarm Optimization-Support Vector Machine for Streamflow Forecasting by Fanping Zhang, Huichao Dai, Deshan Tang

“…Support vector machine (SVM) is an appropriate and suitable method for streamflow prediction due to its best versatility, robustness, and effectiveness. In this study, a wavelet transform particle swarm optimization support vector machine (WT-PSO-SVM) model is proposed and applied for streamflow time series prediction. …”
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LOW FREQUENCY FAULT FEATURE EXTRACTION FOR GEARBOX BASED ON WAVELET TRANSFORM AND CONSTRAINED INDEPENDENT COMPONENT ANALYSIS by LENG JunFa, WANG ZhiYang, CHEN HuiTao, JING ShuangXi

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Investigation of the relationship between number of tweets and USDTRY exchange rate with wavelet coherence and transfer entropy analysis by Cengiz Karatas, Sukriye Tuysuz, Kazim Berk Kucuklerli, Veysel Ulusoy

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Lifting-Based Fractional Wavelet Filter: Energy-Efficient DWT Architecture for Low-Cost Wearable Sensors by Mohd Tausif, Ekram Khan, Mohd Hasan, Martin Reisslein

“…This paper proposes and evaluates the LFrWF, a novel lifting-based architecture to compute the discrete wavelet transform (DWT) of images using the fractional wavelet filter (FrWF). …”
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ROLLING BEARING FAULT DIAGNOSIS MЕТHOD BASED ON MORLET WAVELET AND CART DECISION TREE by LIU JunLi, MIAO BingRong, ZHANG Ying, Ll YongJian, HUANG Zhong

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Structural Performance Assessment Based on Statistical and Wavelet Analysis of Acceleration Measurements of a Building during an Earthquake by Mosbeh R. Kaloop, Jong Wan Hu, Mohamed A. Sayed, Jiyoung Seong

“…The results indicate that (1) the acceleration, displacement, and torsional responses of the roof recording point on the top floor of the building are more dominant in the X direction; (2) the rotation of the building has occurred at the base recording point; (3) 95% of the energy content of the building response is shown in the dominant frequency range (6.25–25 Hz); (4) the wavelet spectrum illustrates that the roof vibration is more obvious and dominant during the shaking; and (5) the wavelet spectrum reveals the elasticity responses of the structure during the earthquake shaking.…”
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True 2-D 5/3 wavelet transform and its application for CT image lossless compression by Nini XU, Mingming ZHANG, Jianming WANG

“…Wavelet transform is widely used in the field of digital image processing，and it usually processes image by separating the row and column，which can’t meet the human visual system（HVS）completely.To address this situation，a kind of true 2-D 5/3 wavelet transform was constructed，which was more consistent with HVS.Firstly，1-D 5/3 wavelet filter bank constructed the true 2-D Lazy wavelet filter bank by McClellan transform，and it was implemented by lifting scheme.Then，this lifting scheme was nested with the true 2-D Lazy wavelet filter bank to implement true 5/3 wavelet transform of image.To facilitate engineering applications，the transformation procedure was given.The experiments of true 5/3 wavelet transform used in CT image lossless compression，the experiment shows that，for 512×512 size CT image true 5/3 wavelet transform has better compression effect when compared with two dimensional separable 5/3 wavelet transform and can save 1 989.9 byte per piece on average.…”
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