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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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White Noise Suppression Based on Wiener Filtering Using Neural Network Technologies in the Domain of the Discrete Wavelet Transform
Abstract —Computer vision algorithms are widely used in solving a number of applied problems. The correct operation of such algorithms depends on the...
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Novel Discrete Component Wavelet Transform for detection of cerebrovascular diseases
Detection and diagnosis of a disease with a single image can be tedious and difficult for doctors but with the adaptation of medical image fusion, a...
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Widely-activated network merging perceptual loss via discrete wavelet transform for image super-resolution
There are some problems with image super-resolution techniques, such as insufficient utilization of image features in different layers and lack high...
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Performance analysis of a nonlinear energy harvester with subharmonic responses based on discrete Meyer wavelet filtering scheme
In this study, we investigate the nonlinear dynamics of a kinetic energy harvester featuring a single degree-of-freedom magneto-piezoelectric...
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Tool wear classification based on maximal overlap discrete wavelet transform and hybrid deep learning model
A precise tool wear monitoring model is essential for manufacturing to ensure reliability and efficiency. This study aims to analyze and monitor the...
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Text-independent speaker identification system using discrete wavelet transform with linear prediction coding
One of the key problems of the modern day is the presentation of an identity verification system that can perform sufficient accuracy in identity...
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Smart machine fault diagnostics based on fault specified discrete wavelet transform
This study examines the impact of the mother wavelet, sensor selection, and machine learning (ML) models for smart fault diagnosis of rotating...
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Image Compression Using Discrete Wavelet Transform and Convolution Neural Networks
The amount of information is growing very fast and multimedia files are the elements of information that occupy more storage. This problem calls for...
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Deep Convolutional Neural Networks for Predominant Instrument Recognition in Polyphonic Music Using Discrete Wavelet Transform
In this article, a new multi-input deep convolutional neural networks (deep-CNNs) model architecture is addressed for the recognition of predominant...
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Transformation of Emotion by Modifying Prosody and Spectral Energy Using Discrete Wavelet Transform
Speech is one of the most natural ways of human communication. Emotion is the hallmark of human speech and plays a dominant role in communicating...
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Fault detection and classification in hybrid energy-based multi-area grid-connected microgrid clusters using discrete wavelet transform with deep neural networks
Microgrid control and operation depend on fault detection and classification because it allows quick fault separation and recovery. Due to their...
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Delamination Damage Detection in a Composite Beam Using Discrete Wavelet Transform
An expectant attempt to detect delamination damage in a multi-layered composite beam using discrete wavelet transform is proposed. The finite element...
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Rotor Unbalance Severity Detection Using Maximum Overlap Discrete Wavelet Transform
The rotor unbalances a critical fault that increases stress at rotational parts like bearings and gears, resulting in higher power consumption and...
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MDDC: melanoma detection using discrete wavelet transform and convolutional neural network
Detection of melanoma in the early stage can provide the patients with more promising treatments. Numerous methods have been proposed for detecting...
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Discrete Wavelet Transform-Based Image Fusion in Remote Sensing
Image fusion is the process of gathering all information from different multiple images and their inclusion into few new images. These single images...
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EEG Signal-Based Human Emotion Recognition Using Power Spectrum Density and Discrete Wavelet Transform
Emotion recognition has been a problem in the field of brain–computer interface. Numerous ways are available for recognizing human emotions and one...
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Wavelet analysis on a generalized helix space curves and its examples
In this paper, wavelet transform on a generalized helix space curves are investigated, including of local continuous wavelet transform at some point...
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Structural damage detection from dynamic responses of the bridge deck under a moving load using discrete wavelet transform
Early detection of structural damages and making necessary interventions to repair them are one of the main challenges in structural health...
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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...