Through-Wall Image Enhancement Based on Singular Value Decomposition by Muhammad Mohsin Riaz, Abdul Ghafoor

“…Information theoretic criterion is used with conventional singular value decomposition to find number of target singular values. Furthermore, wavelet transform-based denoising is performed (to further suppress noise signals) by estimating noise variance. …”
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Gear Fault Diagnosis Method based on Feature-enhanced Cepstrum Analysis by Jiang Zhinong, Zhang Yongshen, Feng Kun, Hu Minghui, He Ya

“…Three feature enhancement methods minimum entropy deconvolution， autoregressive linear prediction and wavelet de-noising are used to enhance the fault impact characteristics of gear vibration signals， and then the cepstrum is used to extract the fault features. …”
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Measuring. Monitoring. Management. Control by Yu.M. Scryabin

“…The error of the UAV flight can be reduced by combining the Morlaix wavelet function and the rational function as an analyzing one, as well as by using a three-row sensor layout.…”

Some Function Spaces via Orthonormal Bases on Spaces of Homogeneous Type by Chuang Chen, Ji Li, Fanghui Liao

“…In this paper, we establish the wavelet characterizations and provide the dualities for these spaces. …”
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Binocular suppression based asymmetrical stereo image watermarking with self-recovery by Ting LUO, Gang-yi JIANG, Xiao-dong WANG, Mei YU, Zong-ju PENG, Feng SHAO

“…To authenticate the integrity of stereo image,an asymmetrical stereo image watermarking scheme based on binocular suppression was proposed.Firstly,according to the features of stereo vision,the computation of binocular sup-pression model was established.The concept of asymmetric stereo image watermarking was defined that two views of stereo image were embedded with different data payloads.Then,discrete wavelet transform was employed to generate different types of recovery watermark for each block,and their copies were embedded into two or three different mapping blocks to improve the quality of recovery.The experimental results demonstrate that the proposed method can detect and recover different kinds of tamper effectively,such as collage attack,and the recovered quality is better than those of other existing and extended mono-image watermarking methods.…”
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Analysis of a Chaotic Memristor Based Oscillator by F. Setoudeh, A. Khaki Sedigh, M. Dousti

“…Sensitivity to initial conditions is studied by considering a nonlinear model of the system, and also a new chaos analysis methodology based on the energy distribution is presented using the Discrete Wavelet Transform (DWT). Then, using Advance Design System (ADS) software, implementation of chaotic oscillator based on the memristor is considered. …”
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Iris recognition algorithm based on feature weighting fast discrete Curvelet transform and fuzzy LS-SVM by Zhenhong HE

“…In order to overcome the weakness of wavelet transform in two dimensional spatial analysis，an improved algorithm based on fast discrete Curvelet transform for iris recognition was proposed.Curvelet transform which can effectively capture the image edge information was introduced to decompose iris image.Mean and variance of low frequency sub-band coefficients and the energy of high frequency sub-band were extracted.Then the feature vectors were weighted according to the difference of classification ability of sub-band feature.Fuzzy least square support vector machine with optimal binary tree was developed to implement classification and recognition.The simulation results show that the proposed algorithm has higher recognition performance than the present method.…”
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Particle Size-Dependent Monthly Variation of Pollution Load, Ecological Risk, and Sources of Heavy Metals in Road Dust in Beijing, China by Cong Men, Donghui Li, Yunqi Jing, Ke Xiong, Jiayao Liu, Shikun Cheng, Zifu Li

“…The advanced three-way model and wavelet analysis were used in quantitative identification and time-series analysis of sources. …”
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Assessing groundwater level variability in response to climate change: A case study of large plain areas by Haidi Wu, Xueyan Ye, Xinqiang Du, Wuxiang Wang, Hongyan Li, Weihong Dong

“…The analysis employs univariate linear trend analysis, the Mann-Kendall test, Morlet wavelet analysis, and cross-wavelet analysis. New hydrological insights for the region: The findings indicate that the groundwater level cycle is approximately 28 years, which corresponds with the atmospheric precipitation cycle. …”
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Multiscale Systemic Risk and Its Spillover Effects in the Cryptocurrency Market by Xu Zhang, Zhijing Ding

“…However, due to the existence of the cryptocurrency bubble, investors face more difficulties in risk portfolios. We adopt wavelet packet decomposition, nonlinear Granger causality test, risk spillover network, and STVAR model; retain the mature research of multiscale systemic risk based on time and frequency; and thus extend systemic risk to different regimes. …”
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A Fault Diagnosis Approach of Gear System based on Deep Learning Theory by Wenbo Xu, Yafeng Ren, Bing Han

“…The FFT-DBN model based on fast Fourier transform and deep belief network， WT-CNN model based on wavelet transform and deep convolutional neural network and HHT-CNN model based on Hilbert Huang transform and deep convolutional neural network are established respectively. …”
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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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Analysis of Water and Sediment Characteristics in Rongjiang River Basin by AO Liangting

“…The Rongjiang River Basin is a tidal reach,where the movement of water and sediment is complicated.Over the years,sediment deposition and soil erosion are serious.Hence,the study of the variations of water and sediment in the Rongjiang River Basin is of great significance for water area management and river management in the basin.Upon the comprehensive analysis of the water and sediment data of Dongqiaoyuan Hydrological Station in the mainstream of Rongjiang River from 1953 to 2017,the trend analysis of the water and sediment sequence is carried out by the moving average method and Mann-Kendall trend test.The mutation analysis is made by the Mann-Kendall mutation test and ordered cluster analysis.Meanwhile,Morlet wavelet analysis is used to discuss the periodicity of the water and sediment process.The characteristics,variations,and influencing factors of water and sediment in the Rongjiang River Basin are obtained to provide theoretical support and a digital model for further study of the characteristics of water and sediment in the basin.…”
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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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Indoor Wi-Fi fingerprint localization method based on CSI tensor decomposition by Mu ZHOU, Yuexin LONG, Qiaolin PU, Yong WANG, Wei HE

“…Aiming at the problem that as the scale of the fingerprint database increases, the training cost and processing complexity of CSI fingerprints will also greatly increase, an indoor Wi-Fi fingerprint localization method based on CSI tensor decomposition was proposed.Firstly, the tensor decomposition algorithm based on the PARAFAC (parallel factor) analysis model and the ALS (alternate least squares) iterative algorithm were combined to reduce the interference of the environment.Then, the tensor wavelet decomposition algorithm was used to extract the feature and obtain the CSI fingerprint.Finally, a localization model was established based on the PLSR (partial least squares regression) algorithm to realize the location estimation.Experimental results show that the confidence probability of the proposed method is 94.88% within 4 m localization error, which verifies that the proposed method has good localization performance while fitting the relationship between CSI location fingerprints and location coordinates.…”
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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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