Natural Frequencies and Modal Damping Ratios Identification of Civil Structures from Ambient Vibration Data by Minh-Nghi Ta, Joseph Lardiès, Berthillier Marc

“…From output data only, the modal parameter are extracted using a subspace method and the wavelet transform method.…”
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Detection and Quantization of Bearing Fault in Direct Drive Wind Turbine via Comparative Analysis by Wei Teng, Rui Jiang, Xian Ding, Yibing Liu, Zhiyong Ma

“…MuSEnS can manifest fault modulation information adaptively based on the capacity of complex wavelet transform, which enables the weak bearing fault in DDWT to be detected. …”
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Dynamic multiday seizure cycles and evolving rhythms in a tetanus toxin rat model of epilepsy by Parvin Zarei Eskikand, Mark J. Cook, Anthony N. Burkitt, David B. Grayden

“…Six TT-injected rats were observed over a 40-day period, with continuous EEG monitoring to record seizure events. Wavelet transform analysis revealed significant multiday cycles in seizure occurrences, with periods ranging from 4 to 7 days across different rats. …”
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Comparison of Machine Learning Methods for the Arterial Hypertension Diagnostics by Vladimir S. Kublanov, Anton Yu. Dolganov, David Belo, Hugo Gamboa

“…Moreover, in the study, different methods of feature extraction are analyzed: statistical, spectral, wavelet, and multifractal. All in all, 53 features were investigated. …”
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Distributed Compressed Video Sensing in Camera Sensor Networks by Yu Liu, Xuqi Zhu, Lin Zhang, Sung Ho Cho

“…The DCVS scheme using SI-BP is designed over two frame signal models, the mixture Gaussian (MG) model and the wavelet hidden Markov tree (WHMT) model. Simulation results evaluated on two video sequences illustrate that the SI-BP-based DCVS scheme is error resilient when the measurements are transmitted through the noisy wireless channels.…”
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Rapid Driving Style Recognition in Car-Following Using Machine Learning and Vehicle Trajectory Data by Qingwen Xue, Ke Wang, Jian John Lu, Yujie Liu

“…Then, the driving style recognition model’s inputs are extracted from vehicle trajectory features, including acceleration, relative speed, and relative distance, using Discrete Fourier Transform (DFT), Discrete Wavelet Transform (DWT), and statistical method to facilitate the driving style recognition. …”
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Estimation of Modal Properties of Low-Rise Buildings Using Ambient Excitation Measurements by K. K. Wijesundara, C. Negulescu, E. Foerster

“…Continuous wavelet transform (CWT) has recently emerged as a promising tool for identification of modal properties through ambient excitation measurements of structures. …”
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Spatiotemporal Traffic Flow Prediction with KNN and LSTM by Xianglong Luo, Danyang Li, Yu Yang, Shengrui Zhang

“…Experimental results indicate that the proposed model can achieve a better performance compared with well-known prediction models including autoregressive integrated moving average (ARIMA), support vector regression (SVR), wavelet neural network (WNN), deep belief networks combined with support vector regression (DBN-SVR), and LSTM models, and the proposed model can achieve on average 12.59% accuracy improvement.…”
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Salt and Pepper Noise Removal with Noise Detection and a Patch-Based Sparse Representation by Di Guo, Xiaobo Qu, Xiaofeng Du, Keshou Wu, Xuhui Chen

“…Experiments are conducted for 30%∼90% impulse noise levels, and the simulation results demonstrate that the proposed method outperforms total variation and Wavelet in terms of preserving edges and structural similarity to the noise-free images.…”
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Surface-Enhanced Raman Spectroscopy for Monitoring Extravirgin Olive Oil Bioactive Components by C. Camerlingo, M. Portaccio, I. Delfino, M. Lepore

“…In this frame, we have investigated five noncommercial olive oils produced in different parts of South Italy by using a commercial Raman microspectroscopy apparatus and home-made signal-enhancing SERS substrates. A wavelet-based data analysis has allowed us to efficiently remove the background and the noise from the acquired spectra. …”
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Motor control method using single-sensor phase current reconstruction by Yin Lu, Yuntian Huang, Hao Guo

“…By collecting the motor's current signals and utilizing signal processing techniques such as Fourier transform and wavelet transform, information about the three-phase currents is extracted from the data of a single sensor. …”
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Machines’ Intelligent Fault Diagnosis Based on Hierarchical Refined Composite Generalized Multiscale Fluctuation Dispersion Entropy by Biwen Chen, Changsheng Chen, Zhenlai Ma, Guoping Li, Yi Zhang, Baoyue Li

“…Furthermore, low-frequency and high-frequency components of the data are comprehensively extracted using dual-tree complex wavelet packet transform (DTCWPT), and high-dimensional features are downscaled using t-distributed stochastic neighbor embedding (t-SNE) to obtain low-dimensional sensitive fault features. …”
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Analyzing Vibration Mechanism of Angular Contact Ball Bearing with Compound Faults on Inner and Outer Rings by Lihai Chen, Ma Fang, Ming Qiu, Yanfang Dong, Xiaoxu Pang, Junxing Li, Chuanmeng Yang

“…The signals of compound faults were decomposed by the dual-tree complex wavelet transform to identify their characteristic frequency. …”
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Research on Coal and Rock Type Recognition Based on Mechanical Vision by Qiang Zhang, Jieying Gu, Junming Liu

“…In order to identify different kinds of coal, rock, and gangue, the FPV integrated image transmission camera is used to collect images of 6 types of coal, 8 types of rocks, and 2 types of coal gangue, and the images are processed based on the two-dimensional discrete wavelet transform (2D-DWT) based on the steerable pyramid decomposition (SPD). …”
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Compressed Sensing Based Apple Image Measurement Matrix Selection by Ying Xiao, Wanlin Gao, Ganghong Zhang, Han Zhang

“…This paper firstly chooses sym5 wavelet base as apple image sparse transformation base, and then it uses Gaussian random matrices, Bernoulli random matrices, Partial Orthogonal random matrices, Partial Hadamard matrices, and Toeplitz matrices to measure apple images, respectively. …”
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Leaf Classification for Sustainable Agriculture and In-Depth Species Analysis by Sara Mumtaz, Shabbab Algamdi, Haifa F. Alhasson, Dina Abdulaziz Alhammadi, Ahmad Jalal, Hui Liu

“…We employ Scale Invariant feature transform (SIFT), wavelet transform, and particle gradient motion for feature extraction, followed by bee colony optimization to enhance the process. …”
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Experimental Investigation of the Propagation and Attenuation Rule of Blasting Vibration Wave Parameters Based on the Damage Accumulation Effect by Huaibao Chu, Xiaolin Yang, Shuanjie Li, Weimin Liang

“…The blasting vibration wave was monitored on the surface of the specimens, and its energy was calculated by using the sym8 wavelet basis function. The experimental results showed that with the increase in the number of blasts, the damage continues to increase; however, the vibration velocity and the main frequency decrease continuously, the unfocused vibration wave energy in the zone near to the blasting source is rapidly concentrated in the low-frequency band (frequency bands 1 to 3), and the energy is further concentrated in the low-frequency band in the intermediate zone and zone far from the blasting source. …”
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Lamb Wave Directional Sensing with Piezoelectric Fiber Rosette in Structure Health Monitoring by Songlai Wang, Wanrong Wu, Yiping Shen, Hui Li, Binlong Tang

“…Experimental tests are conducted to demonstrate the directivity and the frequency response property of the piezoelectric fiber under different excitation central frequencies in comparison with the MFC, rectangular piezoelectric sheet, and circular piezoelectric disc. Continuous wavelet transform (CWT) is applied to extract the maximum response amplitude information of the acquired Lamb wave signal at a central frequency. …”
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Air Pollution Variation During COVID-19 Pandemic Using Satellite and On-site Measurement Data in Six Provinces in Iran by Maryam Zare Shahne, Amirhossein Noori, Mehdi Alizade Attar

“…The AOD distribution map and its trend illustrated that Guilan, Khorasan-Razavi, and Tabriz had become more pollutants after the outbreak due to changes in tourist patterns and emission inventories. Base on wavelet transform, implemented on ground-measurment of PM2.5, the PM2.5 concentration increased in early 2021 from the value in baseline period, due to eased restriction and expansion of public COVID-19 vaccine in all considered provinces.…”
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Translation Invariance-Based Deep Learning for Rotating Machinery Diagnosis by Wenliao Du, Shuangyuan Wang, Xiaoyun Gong, Hongchao Wang, Xingyan Yao, Michael Pecht

“…The autoencoder takes advantage of the multiscale normalized frequency spectrum information obtained by dual-tree complex wavelet transform as input. Accordingly, the multiscale normalized features guarantee the translational invariance for signal characteristics, and the stacked sparse autoencoder benefits the unsupervised feature learning and ensures accurate and stable diagnosis performance. …”
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