Wavelets and Multi-Resolution Analysis: A Signal Processing Approach - Brossura

Sinith, M S; A, Gayathri; K R, Chithra

Brossura

ISBN 10: 3031927524 ISBN 13: 9783031927522

Casa editrice: Springer, 2026

Riassunto

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.

Su questo libro

Informazioni sull'autore

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.

Dalla quarta di copertina

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.

• Introduces the basic concepts of wavelets and multi-resolution analysis using real world examples;
• Includes current research in the field along with specific examples from audio processing;
• Features technologies like optimum wavelet design for specific applications.

Dettagli dell'edizione

• Editore: Springer
• Data di pubblicazione: 2026
• Lingua: Inglese
• ISBN 10: 3031927524
• ISBN 13: 9783031927522
• Rilegatura: Copertina flessibile
• Numero di pagine: 216
• Contatto del produttore: non disponibile
• Persona responsabile: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Germania