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Mathematical Transformations and Wavelet Filters for Source Coding and Signal Processing Systems
This book teaches the fundamentals and mathematical formulas of reversible transformations (or transforms) that are used in many source coding and...
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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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Compression of Medical Images Using Lifting Haar Wavelet Transform for Teleradiology Applications
Mathematical transforms gain prominence in computer vision and image processing applications. Wavelet transform provides multiresolution analysis of...
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Die Wavelet-Transformation
Die Wavelet-Transformation wurde 1982 von Morlet et al. eingeführt, wobei die Anwendung in der Auswertung seismischer Messdaten bestand [20], [21]....
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Enhancing Convolutional Neural Network Performance Using Domain Transforms in Constrained Networks
Convolutional neural network (CNN) has emerged as one of the primary tools for image classification. In particular, deep CNNs are now considered the...
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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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Electrocardiogram Signal Denoising Using Optimized Adaptive Hybrid Filter with Empirical Wavelet Transform
Cardiovascular diseases are the world’s leading cause of death; therefore cardiac health of the human heart has been a fascinating topic for decades....
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Identifying coastal highway pavement anomalies using multiscale wavelet analysis in radar signal interpretation
Highways are the main components of modern transportation hubs, where lots of pavement anomalies have been still occurring with the increasing of the...
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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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Hybrid Architecture for Sinusoidal and Non-sinusoidal Transforms
Applications such as multimedia and system on chip require multiple transforms for processing various types of signals such as text, audio, image and...
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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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Building Damage Detection Using Discrete Wavelet Transforms and Convolutional Neural Networks
Assessing the damage to life and property in the wake of a natural disaster can be a herculean task. Rapid identification of the damaged areas can...
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Integral Transforms and Generalized Quotient Space on the Torus
In this chapter, we discuss one of the recent generalization of Schwartz distributions that has significantly influenced the expansion of various...
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A Wavelet Optimized Video Copy Detection Using Content Fingerprinting
The video analysis technique facilitates automatic understanding of visual content and semantic information transmitted by video streams. Video copy...
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Comparative Evaluation of Wavelet Transform Methods for Surface Roughness in Turning of Monel 400 Superalloy: A Precision Analysis
Wavelet transforms offer multi-resolution analysis capabilities, enabling the extraction of both local and global features from the surface roughness...
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Comprehensive analysis of aero-engine vibration signals based on wavelet transform method
A single type of signal processing means that it is difficult to analyze vibration signals comprehensively and effectively. By comprehensively using...
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Development of Soft Computing Models Based on Wavelet Analysis for Estimating Piezometric Heads in Earth Dams
In this research, a combined wavelet-neural network (WMLPNN) and wavelet-support vector machine (WSVM) model were developed to predict the...
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Application of wavelet ratio between acoustic emission and cutting force signal decomposing in intelligent monitoring of cutting tool wear when turning SKD 61
In this study, the authors utilize the wavelet transform technique within the intelligent turning process. This technique is applied to the machining...
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A Review in Wavelet Transforms Based Medical Image Fusion
Multi-resolution and orthogonal transforms are very much important for image processing. Wavelet transform is such an important signal processing...
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Damage Detection in Laminated Composite Beams Reinforced with Nano-particles Using Covariance of Vibration Mode Shape and Wavelet Transform
IntroductionDamage detection based on mode shapes is popular since obtaining experimental mode shapes of the damaged structure is possible. Usually,...
