Modern Applications of Wavelet Transform

Srinivasan Ramakrishnan

ISBN 10: 0854662367 / ISBN 13: 9780854662364

Verlag: Intechopen Feb 2024, 2024

Beschreibung

Neuware -This book explores the use of wavelet transforms in signal processing, including image, finance, and communication systems. It covers five contemporary applications, including the interaction between inertial sensors and wavelet filtering techniques, geophysical prospecting, volatility patterns in asset returns, computerized tomography (CT), and fault detection techniques. The book provides a foundation for further exploration, focusing on wavelet transformations' basic principles, their application in geophysical prospecting, and their use in identifying volatility patterns in asset returns. The book is intended for students, researchers, and professionals interested in understanding wavelet transforms and their practical implementations.Books on Demand GmbH, Überseering 33, 22297 Hamburg 96 pp. Englisch.

Bestandsnummer des Verkäufers 9780854662364

Bibliografische Details

• Titel: Modern Applications of Wavelet Transform
• Verlag: Intechopen Feb 2024
• Erscheinungsjahr: 2024
• Sprache: Englisch
• ISBN-10: 0854662367
• ISBN-13: 9780854662364
• Einband: Buch
• Zustand: Neu
• Abmessungen: 260B x 183 H x 11 T Millimeter Breite: 260 mm, Höhe: 183 mm, Tiefe: 11 mm
• Gewicht: 416 Gramm

Über diesen Titel

Inhaltsangabe

This book explores the use of wavelet transforms in signal processing, including image, finance, and communication systems. It covers five contemporary applications, including the interaction between inertial sensors and wavelet filtering techniques, geophysical prospecting, volatility patterns in asset returns, computerized tomography (CT), and fault detection techniques. The book provides a foundation for further exploration, focusing on wavelet transformations' basic principles, their application in geophysical prospecting, and their use in identifying volatility patterns in asset returns. The book is intended for students, researchers, and professionals interested in understanding wavelet transforms and their practical implementations.