Monitoring the Maize Canopy Chlorophyll Content Using Discrete Wavelet Transform Combined with RGB Feature Fusion by Wenfeng Li, Kun Pan, Yue Huang, Guodong Fu, Wenrong Liu, Jizhong He, Weihua Xiao, Yi Fu, Jin Guo

“…To evaluate the accuracy of Discrete Wavelet Transform (DWT) in monitoring the chlorophyll (CHL) content of maize canopies based on RGB images, a field experiment was conducted in 2023. …”
Get full text

A Hybrid Approach of Using Wavelets and Fuzzy Clustering for Classifying Multispectral Florescence In Situ Hybridization Images by Yu-Ping Wang, Ashok Kumar Dandpat

“…The approach is based on the combination of fuzzy clustering and wavelet normalization. Two wavelet-based algorithms are used to reduce redundancies and to correct misalignments between multichannel FISH images. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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). …”
Get full text

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

Get full text

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. …”
Get full text

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. …”
Get full text

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

Subjects: Get full text

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. …”
Get full text

Seismic Random Noise Suppression Using Optimal ANFIS as an Adaptive Self-Tuning Filter and Wavelet Thresholding by K. Geetha, Malaya Kumar Hota

Subjects: Get full text

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. …”
Get full text

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). …”
Get full text

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.…”
Get full text

An Expert Diagnosis System for Parkinson Disease Based on Genetic Algorithm-Wavelet Kernel-Extreme Learning Machine by Derya Avci, Akif Dogantekin

“…The Parkinson disease datasets are obtained from the UCI machine learning database. In wavelet kernel-Extreme Learning Machine (WK-ELM) structure, there are three adjustable parameters of wavelet kernel. …”
Get full text

Application of Reassigned Wavelet Scalogram in Wind Turbine Planetary Gearbox Fault Diagnosis under Nonstationary Conditions by Xiaowang Chen, Zhipeng Feng

“…In this paper, we use reassigned wavelet scalogram to extract fault feature from wind turbine planetary gearbox vibration signals. …”
Get full text

Numerical Simulation of One-Dimensional Fractional Nonsteady Heat Transfer Model Based on the Second Kind Chebyshev Wavelet by Fuqiang Zhao, Jiaquan Xie, Qingxue Huang

“…We construct the second kind Chebyshev wavelet and then derive the operational matrix of fractional-order integration. …”
Get full text

Image Encryption Algorithm Based on a Novel Improper Fractional-Order Attractor and a Wavelet Function Map by Jian-feng Zhao, Shu-ying Wang, Li-tao Zhang, Xiao-yan Wang

“…Based on the continuous chaos and the discrete wavelet function map, an image encryption algorithm is put forward. …”
Get full text

Memories of the Gold Foreign Exchange Market Based on a Moving V-Statistic and Wavelet-Based Multiresolution Analysis by Peng Zheng, Bin Liu, Zhongli Zhou

“…Finally, we check the moving V-statistic estimation in wavelet analysis in the same condition; the paper selects the volatilities of the gold foreign exchange rates to evaluate the moving V-statistic. …”
Get full text

Comovimiento entre mercados accionarios de América Latina y Estados Unidos: Un enfoque de wavelets by Jesús Cuauhtémoc Téllez Gaytán, Pablo López Sarabia

Subjects: “…transformada wavelet…”
Get full text