Damage Identification Investigation of Retaining Wall Structures Based on a Virtual Impulse Response Function by Qian Xu

“…To eliminate the influence of excitation on the wavelet packet frequency band energy spectrum (ES), ES is acquired via wavelet packet decomposition of a virtual impulse response function. …”
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Multiscale Latent Variable Regression by Mohamed N. Nounou, Hazem N. Nounou

“…Multiscale wavelet-based representation of data has been shown to be a powerful tool in feature extraction from practical process data. …”
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An Improved Method of EWT and Its Application in Rolling Bearings Fault Diagnosis by Zhicheng Qiao, Yongqiang Liu, Yingying Liao

“…The traditional empirical wavelet transform (EWT) decomposes signals into a large number of components, and it is difficult to select suitable components that contain fault information. …”
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A System Identification-Based Damage-Detection Method for Gravity Dams by Masoud Mirtaheri, Mojtaba Salkhordeh, Masoud Mohammadgholiha

“…Then, a combined method based on Hilbert–Huang Transform (HHT) and Wavelet Transform (WT) is presented to obtain the dynamic properties of the structure. …”
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Signal Feature Extraction and Quantitative Evaluation of Metal Magnetic Memory Testing for Oil Well Casing Based on Data Preprocessing Technique by Zhilin Liu, Lutao Liu, Jun Zhang

“…In this paper, a method of median filter preprocessing based on data preprocessing technique is proposed to eliminate the outliers point of MMM. And, based on wavelet transform (WT), the adaptive wavelet denoising method and data smoothing arithmetic are applied in testing the system of MMM. …”
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An intelligent system for lung CT image denoising using a hybrid WT-NLM filter by S.L. Soniya, T. Ajith Bosco Raj

“…In this study, a Hybrid Wavelet Transform with Non-Local Mean (Hybrid WT-NLM) filter is proposed for reducing noise in lung CT images. …”
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Fault Diagnosis of Rotating Machinery Based on Convolutional Neural Network and Singular Value Decomposition by Dong Liu, Xu Lai, Zhihuai Xiao, Dong Liu, Xiao Hu, Pei Zhang

“…A novel method of fault diagnosis based on convolutional neural network (CNN), discrete wavelet transform (DWT), and singular value decomposition (SVD) is proposed in this paper. …”
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An Improved Real Time Image Detection System for Elephant Intrusion along the Forest Border Areas by S. J. Sugumar, R. Jayaparvathy

“…The received image is decomposed using Haar wavelet to obtain multilevel wavelet coefficients, with which we perform image feature extraction and similarity match between the elephant query image and the database image using image vision algorithms. …”
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Predictive Analysis of Maritime Congestion Using Dynamic Big Data and Multiscale Feature Analysis by Yalin Wu

“…To improve short-term traffic flow prediction accuracy, this study employs multiscale feature analysis through wavelet transformation. The foundational traffic data undergo wavelet decomposition for a detailed representation across frequencies. …”
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Using Color Difference Compensation Method to Balance and Repair the Image of Art Design by Hui Ji, Yang Shang

“…A white balance color compensation algorithm for fuzzy chromatic aberration based on wavelet packet decomposition is proposed. The original image was denoised and filtered. …”
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Effects of different climatic conditions on soil water storage patterns by A. Ehrhardt, A. Ehrhardt, J. Groh, J. Groh, J. Groh, H. H. Gerke

“…The observed disruption of annual patterns in the wavelet spectra of both sites was possibly caused by extreme events. …”
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An Integrative Approach to Understand the Climatic-Hydrological Process: A Case Study of Yarkand River, Northwest China by Jianhua Xu, Yiwen Xu, Chunan Song

“…Taking the Yarkand River as an example, this paper conducted an integrative approach combining the Durbin-Watson statistic test (DWST), multiple linear regression (MLR), wavelet analysis (WA), coefficient of determination (CD), and Akaike information criterion (AIC) to analyze the climatic-hydrological process of inland river, Northwest China from a multitime scale perspective. …”
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Condition monitoring of urban rail transit by local energy harvesting by Mingyuan Gao, Yunwu Li, Jun Lu, Yifeng Wang, Ping Wang, Li Wang

“…Field test results, power consumption, Littlewood–Paley wavelet transform method, and feasibility analysis are reported. …”
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Influences of Hydrodynamic Forces on the Identification of the Rotor-Stator-Rubbing Fault in a Rotating Machinery by Bernard Xavier Tchomeni, Desejo Filipeson Sozinando, Alfayo Alugongo

“…The results through a synchrosqueezing wavelet transform indicated that the exciting fluid force could significantly attenuate the instability and amplitude of rubbing rotor. …”
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Fault Diagnosis Approach for Rotating Machinery Based on Feature Importance Ranking and Selection by Zong Yuan, Taotao Zhou, Jie Liu, Changhe Zhang, Yong Liu

“…As a common signal decomposition method, the effect of wavelet packet decomposition (WPD) largely depends on the applicability of the wavelet basis function (WBF). …”
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MRI Volume Fusion Based on 3D Shearlet Decompositions by Chang Duan, Shuai Wang, Xue Gang Wang, Qi Hong Huang

“…Both the perspective impression and the quality indices indicate that the proposed method has a better performance than conventional 2D wavelet, DT CWT, and 3D wavelet, DT CWT based fusion methods.…”
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Rapid Discrimination of Cheese Products Based on Probabilistic Neural Network and Raman Spectroscopy by Zheng-Yong Zhang

“…This paper further studied and established the analytical approach based on Raman spectroscopy, including wavelet denoising, normalization, principal component analysis, and probabilistic neural network discrimination. …”
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Gyroscope-Based Smartphone Model Identification via WaveNet and EfficientNetV2 Ensemble by Erkan Kiymik, Ali Emre Ozturk

“…A fine-tuned WaveNet model is employed to analyze the sequential nature of the gyroscope data, and an EfficientNetV2 model captures intricate time-frequency representations using Continuous Wavelet Transform (CWT) with the Morlet wavelet. Combining these models in an ensemble framework enhanced with an attention mechanism gives an accuracy of 99.01% using just 1–2 seconds of gyroscope data. …”
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Cavitation Detection in Centrifugal Pump Based on Interior Flow-Borne Noise Using WPD-PCA-RBF by Liang Dong, Kan Wu, Jian-cheng Zhu, Cui Dai, Li-xin Zhang, Jin-nan Guo

“…In this work, to improve the accuracy and efficiency of identification, an approach combining wavelet packet decomposition (WPD) with principal component analysis (PCA) and radial basic function (RBF) neural network is introduced to detect the cavitation status for centrifugal pumps. …”
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Dynamic Interdependence of Systematic Risks in Emerging Markets Economies: A Recursive-Based Frequency-Domain Approach by Emmanuel Asafo-Adjei, Anokye M. Adam, Anthony Adu-Asare Idun, Peace Y. Ametepi

“…Hence, the Kalman filter-based wavelet approach is adopted to execute the purpose of this study. …”
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