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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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Wavelet Transforms
We discuss the concept of wavelet transform in this chapter. The one-dimensional (1D) and two-dimensional (2D) wavelet transform are two primary...
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Wavelets and Wavelet Transforms
One collecting manner of experimental data by engineers and scientists is as sequences of values at regularly spaced intervals in time. These...
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Damage Detection in Structures by Wavelet Transforms: A Review
Wavelet transform is a mathematical technique with many applications in signal processing. Anomaly and faults in signals can be detected using...
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Fault Detection, Classification, and Identification of Shunt Compensated Distribution System Through Wavelet Transforms
This study presents an informal and competent method of fault detection, classification, and identification in distribution networks compensated with...
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Basic Formation on Wavelet Transforms
Use wavelets developed in the recent past have paved the way for applying a wavelet transform to biomedical signal analysis. Existing literature...
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Multiresolution Analysis Based on Variants of Wavelet Transforms for Illumination Normalized Face Recognition
Face recognition has been recognized as an extensive biometric system in recent years that effectively identifies digital face images under any...
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Patterns Based on Clarke and Park Transforms of Wavelet Coefficients for Classification of Electrical Machine Faults
Although having robust construction, the three-phase induction motor is frequently exposed to electrical, mechanical, and thermal stress, which, over...
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Image-based machine learning approach for structural damage detection through wavelet transforms
Structural integrity is essential for safety in infrastructure, as it can help prevent catastrophic failures and financial losses. The significance...
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Damage Detection in Rectangular Laminated Composite Plate Structures using a Combination of Wavelet Transforms and Artificial Neural Networks
PurposeAlthough damage's location detection by Wavelet Transforms (WTs) is quantitive, damage's level detection is qualitative. It is a weakness of...
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Image Fusion Using Wavelet Transforms
In computer vision or machine learning several image analysis techniques are required for efficient utilization of machine learning applications. One...
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Subband Transforms
Transforms that decompose the source into non-overlap** and contiguous frequency ranges called subbands are called subband transforms. A wavelet...
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Frequency bearing fault detection in non-stationary state operation of induction motors using hybrid approach based on wavelet transforms and pencil matrix
Non-stationary fault detection under bearing fault operation of induction motor is investigated in this paper. For this aim, the vibration signal is...
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Delamination Detection of Rectangular Laminated Composite Plates by Combining the One-Dimensional and Two-Dimensional Discrete Wavelet Transforms
Delamination is one of the most common damages in laminated composite structures. This damage is usually created during manufacturing. Therefore,...
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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...
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Demystifying the Applications of Wavelet Transform in Bio Signal and Medical Data Processing
Wavelet transforms have revolutionized bio signal and medical image processing by providing powerful tools for analysis and feature extraction. This...
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Medical Image Fusion by Using Different Wavelet Transforms
Combining two or more images from different sensors in to a single image is called image fusion. The resultant image contains the complementary...
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Test Point Selection Using Wavelet Transforms for Digital-to-Analog Converters
We cover the idea of using selected test points to test mixed signal systems. We select the test points among many points using the Gerard N....
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Motor fault classification using hybrid short-time Fourier transform and wavelet transform with vibration signal and convolutional neural network
The detection and classification of failures in electric motors are critical for ensuring operational integrity and financial sustainability 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...
