Wavelets and Multi-Resolution Analysis

A Signal Processing Approach
Erscheinungsjahr 2025
ISBN: 978-3-031-92749-2
Verlag: Springer

Buch, Englisch, 206 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 492 g

This book provides a comprehensive overview of wavelets starting from the fundamentals of signal analysis using wavelets, to cutting edge technologies like optimum wavelet design for specific applications. To introduce different concepts the authors have used narrative and real world examples with illustrative drawings that enable the reader to visualise the concepts. The book features a mathematical tool for analysing signals with variable resolution in the time and frequency domain. The authors have used simple, innovative and illustrative methods and examples for explaining different concepts. The Matlab programs, included in each chapter, help to give insights into various engineering problems in signal processing. This book can be used by practicing researchers, engineers, and undergraduate or postgraduate level students for computer science and allied courses.

Zielgruppe

Research

Autoren/Hrsg.

Sinith, M S

A, Gayathri

K R, Chithra

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung

Inhaltsverzeichnis

Introduction.- Signal Space Concept.- Introduction to Wavelet Transform.- Multiresolution Analysis.- Discrete Wavelet Transform and Filter Bank Theory.- Wavelet Design Using Regularity and Moments.- Biorthogonal Wavelets.- Wavelet Construction.- Applications of Wavelet Transform.- Optimization Methods for Wavelet Design.- Conclusion.

Über Autor(innen)

Dr M S Sinith: Dr M S Sinith (PhD) is the Head of the Department of Electronics and Communication Engineering, Government Engineering College Wayanad, Kerala. He has around 20 years of teaching experience in various institutions. Dr. Sinith M.S has published papers in various national and international journals and conferences. His areas of interest include speaker recognition, music pattern recognition, wavelet based signal processing, image classification, audio classification, Artificial Intelligence for audio processing and blind source separation. He has also been awarded Dr. N. Vasudevan Nair Endowment by CETAA in recognition of his contributions and also has one Guinness World Record on relay music singing in his credit.

Gayathri A: Gayathri A (MTech) is Assistant Professor, Department of Electronics and Communication Engineering, Government Engineering College Palakkad, Kerala. She has publications in reputed international journals and conferences. Her areas of interest include musical signal processing, wavelet based signal processing and audio processing

Chithra K R: Chithra K R (MTech) is Research Scholar, Department of Electronics and Communication Engineering, Government Engineering College Thrissur, Kerala. She has publications in reputed international journals and conferences. Her areas of interest include musical signal processing, wavelet based signal processing and optimisation techniques.