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A New Method for Denoising Underwater Acoustic Signals Based on EEMD, Correlation Coefficient, Permutation Entropy, and Wavelet Threshold Denoising
The complexities of the marine environment and the unique characteristics of underwater channels pose challenges in obtaining reliable signals...
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A wavelet selection scheme in underwater discharge signal analysis
The analysis of underwater discharge signals is of great significance for its application. Wavelet-based de-noising and analysis technology is an...
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An Improved Fast Kurtogram Based on an Optimal Wavelet Coefficient for Wind Turbine Gear Fault Detection
Serious failures of wind turbine drive-trains occur in gear which plays an essential role. Owing to the complicated vibration signal of faulty gear...
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Using fuzzy C-means in selecting a suitable wavelet transform for fatigue failure analyses
This study aimed to select a suitable wavelet transform for fatigue failure analyses. Strain signals of vehicle coil spring driven on road surfaces...
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Structural Damage Detection by Derivative-Based Wavelet Transforms
In practical applications of wavelet transform, engineers and practitioners encounter challenges that arise due to the disparity between wavelet...
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Estimation of the Basin Outflow by Wavelet Neural Network, Conjunctive Use of Wavelet Analysis and Artificial Neural Network
Estimation of the basin outflow by machine learning (ML) methods is increasingly attracted attention in recent years. Some subsets of ML methods...
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Maximum tire/road friction coefficient prediction based on vehicle vertical accelerations using wavelet transform and neural network
The maximum tire/road friction coefficient (TRFC) is the maximum potential for the generation of tire forces, and it is a crucial factor in the...
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Low Voltage Fault Arc Detection Method Based on Wavelet Threshold and Residual Neural Network
In order to improve the accuracy and efficiency of fault arc detection, this paper adopts the characteristic quantity of arc current wavelet... -
Hilbert Domain Analysis of Wavelet Packets for Emotional Speech Classification
This work investigates the significance of Hilbert domain characterization of wavelet packets in classifying different emotion of speech signal. The...
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WTGCN: wavelet transform graph convolution network for pedestrian trajectory prediction
The task of pedestrian trajectory prediction remains challenging due to variable scenarios, complex social interactions, and uncertainty in...
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A Comparison of Wavelet Packet, Wavelet Leaders Multifractal, and p-Leader Multifractal Method in Chatter Detection
An efficient stability analysis contributes to the improvement of machining stability and chatter suppression. First, this paper presents three...
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Identifying earthquake-induced structural damage with normalized discrete wavelet coefficients
This study introduces a new method based on wavelet coefficients to detect structural damages caused by earthquakes. While past research has...
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Wavelet transform based detection, classification and location of faults in a PV array
In recent years, solar PV panels have been increasingly used as an alternative to conventional energy resources. For the efficient operation of the...
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Wavelet-based 3D Data Cube Denoising Using Three Scales of Dependency
In this paper, we propose a novel method for 3D data cube denoising, where the 3D data cube is corrupted by noise with spatially varying noise...
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Suppressing random noise in seismic signals using wavelet thresholding based on improved chaotic fruit fly optimization
Suppressing random noise in seismic signals is an important issue in research on processing seismic data. Such data are difficult to interpret...
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Implementation of Speech Enhancement Using Bionic Wavelet Transform
Researchers in the field of speech processing have focused on minimizing the impact of environmental noise that decreases the performance of the... -
An adaptive steganography insertion technique based on wavelet transform
Over the past few decades, there have been several successful methods developed for steganography. One popular technique is the insertion method,...
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Wavelet image scattering based glaucoma detection
BackgroundThe ever-growing need for cheap, simple, fast, and accurate healthcare solutions spurred a lot of research activities which are aimed at...
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Research on Power Quality Data Compression Algorithm Based on Complex Wavelet Transform
With the development of smart grid and new energy grid-connected technology, a large number of nonlinear, sensitive, and impact loads are widely used... -
Directional Wavelet Packets for Image Processing
The paper presents a versatile library of quasi-analytic complex-valued wavelet packets originated from polynomial splines of arbitrary orders. The...