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"Wavelet Theory" ed. by Somayeh Mohammady

Posted By: exLib
"Wavelet Theory" ed. by Somayeh Mohammady

"Wavelet Theory" ed. by Somayeh Mohammady
ITexLi | 2021 | ISBN: 1838819487 9781838819484 1838819479 9781838819477 183881955X 9781838819552 | 365 pages | PDF | 29 MB

This book looks at some of the most creative and popular applications of wavelets including biomedical signal processing, image processing, communication signal processing, Internet of Things (IoT), acoustical signal processing, financial market data analysis, energy and power management, and COVID-19 pandemic measurements and calculations.

The wavelet is a powerful mathematical tool that plays an important role in science and technology. The authot's personal interest is the application of wavelet transform to identify time domain changes on signals and corresponding frequency components and in improving power amplifier behavior.

Contents
1. Time Frequency Analysis of Wavelet and Fourier Transform
2. Wavelet Theory: Applications of the Wavelet
3. Wavelet Theory and Application in Communication and Signal Processing
4. Wavelet Based Multicarrier Modulation (MCM) Systems: PAPR Analysis
5. Wavelets for EEG Analysis
6. Ultra-High Performance and Low-Cost Architecture of Discrete Wavelet Transforms
7. Fault Detection, Diagnosis, and Isolation Strategy in Li-Ion Battery Management Systems of HEVs Using 1-D Wavelet Signal Analysis
8. Industrial IoT Using Wavelet Transform
9. Wavelet Transform for Signal Processing in Internet-of-Things (IoT)
10. The Discrete Quincunx Wavelet Packet Transform
11. Uncertainty and the Oracle of Market Returns: Evidence from Wavelet Coherence Analysis
12. Case Study: Coefficient Training in Paley-Wiener Space, FFT, and Wavelet Theory
13. Wavelet Filter Banks Using Allpass Filters
14. A Wavelet Threshold Function for Treatment of Partial Discharge Measurements
15. Use of Daubechies Wavelets in the Representation of Analytical Functions
16. Higher Order Haar Wavelet Method for Solving Differential Equations
17. COVID-19 Outbreak and Co-Movement of Global Markets: Insight from Dynamic Wavelet Correlation Analysis

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