TY  - CHAP
AU  - Kayupe Kikodio Patrick
ED  - Somayeh Mohammady
Y1  - 2021-02-24
PY  - 2021
T1  - Case Study: Coefficient Training in Paley-Wiener Space, FFT, and Wavelet Theory
N2  - The wavelet is a powerful mathematical tool that plays an important role in science and technology. 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 editor’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.
BT  - Wavelet Theory
SP  - Ch. 12
UR  - https://doi.org/10.5772/intechopen.94865
DO  - 10.5772/intechopen.94865
SN  - 978-1-83881-948-4
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-26
ER  -