Improved Method for Predicting the Performance of the Physical Links in Telecommunications Access Networks by Ferenc Lilik, Szilvia Nagy, László T. Kóczy

“…The basis of the operable and tested method will be introduced, then an improved version is shown, in which the problems derived from sampling of continuous functions of electrical parameters are eliminated by wavelet transformation. Also possibilities for simplification of the problem and a way of reducing the dimensions of the applied rule bases are presented. …”
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Detection of Two-Level Inverter Open-Circuit Fault Using a Combined DWT-NN Approach by Bilal Djamel Eddine Cherif, Azeddine Bendiabdellah

“…This paper work addresses a diagnostic technique based on the discrete wavelet transform (DWT) algorithm and the approach of neural network (NN), for the detection of an inverter IGBT open-circuit switch fault. …”
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A Method Combining Fractal Analysis and Single Channel ICA for Vibration Noise Reduction by Quanbo Lu, Mei Li

“…Noisy component signals are then processed by wavelet denoising. Finally, the output signal after noise reduction is reconstructed using the filtered “right” component signals. …”
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A Nonparametric Method for Automatic Denoising of Microseismic Data by Pingan Peng, Liguan Wang

“…The results of the proposed method are compared against ensemble empirical mode decomposition (EEMD) and wavelet denoising methods, which shows the effectiveness of the method for denoising and improving the SNR of microseismic data.…”
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Efficient Prediction of Network Traffic for Real-Time Applications by Muhammad Faisal Iqbal, Muhammad Zahid, Durdana Habib, Lizy Kurian John

“…Many predictors from three different classes, including classic time series, artificial neural networks, and wavelet transform-based predictors, are compared. …”
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IT diagnostics of Parkinson's disease based on voice markers and decreased motor activity by U. V. Vishniakou, X. Yiwei

“…The time-frequency function, (the wavelet function) and the Meyer kepstral coefficient function are used. …”
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Do Local and World COVID-19 Media Coverage Drive Stock Markets? Time-Frequency Analysis of BRICS by Ahmed Bossman, Tamara Teplova, Zaghum Umar

“…With datasets covering January 2020 to March 2022, we employ the wavelet coherence technique on two major subsamples, viz. initial outbreak year sample and the “new normal” era sample. …”
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Application of Variational Mode Decomposition and k-Nearest Neighbor Algorithm in the Quantitative Nondestructive Testing of Wire Ropes by Pengbo Zheng, Juwei Zhang

“…Our design implements variational mode decomposition (VMD) and a wavelet transformation to remove noise from the raw MFL signals. …”
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3D Automatic Segmentation of Brain Tumor Based on Deep Neural Network and Multimodal MRI Images by Zhuliang Qian, Lifeng Xie, Yisheng Xu

“…In addition, this paper constructs an automatic diagnosis system for brain tumors, uses GLCM and discrete wavelet transform (DWT) to extract features from MRI images, and then uses a convolutional neural network (CNN) for final diagnosis; finally, through four. …”
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An Improved AAM Method for Extracting Human Facial Features by Tao Zhou, Xiao-Jun Wu, Tao Wu, Zhen-Hua Feng

“…Firstly, translation invariant wavelet transform is performed on face images and then image structure is represented using the measure which is obtained by fusing the low-frequency coefficients with edge intensity. …”
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Compressed sensing for electrocardiogram acquisition in wireless body sensor network: A comparative analysis by Junxin Chen, Jiazhu Xing, Leo Yu Zhang, Lin Qi

“…The performances of involved important factors, such as wavelet basis, overcomplete dictionaries, and the reconstruction algorithms, are comparatively illustrated, with the purpose to give data reference for practical applications. …”
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Screw Remaining Life Prediction Based on Quantum Genetic Algorithm and Support Vector Machine by Xiaochen Zhang, Dongxiang Jiang

“…Accelerometers are installed to monitor the performance degradation of ball screw. Combined with wavelet packet decomposition and isometric mapping (Isomap), the sensitive feature vectors are obtained and stored in database. …”
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The Role of Sustainable Competitiveness Indicator in Malaysian Tourism and Economic Growth by Soh Ann-Ni, Puah Chin-Hong, Mohammad Affendy Arip, Jong Meng-Chang

“…Through the implementation of bivariate wavelet coherence analysis, the empirical results indicated that the constructed indicator has a positive leading role in Malaysian tourism development and economic growth. …”
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Research on Small Sample Nonlinear Cointegration Test and Modeling Based on the LS-SVM Optimized by PSO by Jungang Du

“…We also compare the prediction results with the wavelet neural network algorithm, and the results show that the generalization ability of LS-SVM Optimized by PSO is better, and the prediction accuracy of small samples is higher.…”
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An Eigenpoint Based Multiscale Method for Validating Quantitative Remote Sensing Products by Shaohui Chen, Hongbo Su

“…The eigenpoints are located according to the á trous wavelet planes of the QRSP. Based on these concepts, this letter proposes an eigenpoint based multiscale method for validating the QRSPs. …”
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A New Improved Kurtogram and Its Application to Bearing Fault Diagnosis by Xinghui Zhang, Jianshe Kang, Lei Xiao, Jianmin Zhao, Hongzhi Teng

“…Instead of Kurtosis, correlated Kurtosis of envelope signal extracted from the wavelet packet node was used as an indicator to determine the optimal frequency band. …”
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Fatigue Damage Evolution and Monitoring of Carbon Fiber Reinforced Polymer Bridge Cable by Acoustic Emission Technique by Dongsheng Li, Qian Hu, Jinping Ou

“…Finally, the failure types of AE waveform are extracted and analyzed using wavelet transformation. The AE technique proved to be a potential means for evaluating the fatigue damage characteristics of CFRP cables.…”
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DCA-Based Real-Time Residual Useful Life Prediction for Critical Faulty Component by Funa Zhou, Jiayu Wang, Yulin Gao

“…The innovation of this paper is as follows: (1) Wavelet filtering based method is developed for early detection of slowly varying fault. (2) Designated component analysis is introduced as a feature extraction tool to define the fault precursor of a specific component. (3) Exponential life prediction model is established by nonlinear fitting of the historical RUL and the fault size characterized by the statistics used. …”
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Compressed Sensing Based Fingerprint Identification for Wireless Transmitters by Caidan Zhao, Xiongpeng Wu, Lianfen Huang, Yan Yao, Yao-Chung Chang

“…A data acquisition system is designed to capture the wireless transmitter signals. Complex analytical wavelet transform is used to obtain the envelope of the transient signal, and the corresponding features are extracted by using the compressed sensing theory. …”
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The Partial Inner Product Space Method: A Quick Overview by Jean-Pierre Antoine, Camillo Trapani

“…Many families of function spaces play a central role in analysis, in particular, in signal processing (e.g., wavelet or Gabor analysis). Typical are 𝐿𝑝 spaces, Besov spaces, amalgam spaces, or modulation spaces. …”
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