Introduction to Wavelets and Wavelet Transforms: A Primer

Burrus, L Sidney, and Guo, Haitao, and Gopinath, Ramesh A

ISBN 10: 0134896009 / ISBN 13: 9780134896007

Published by Prentice Hall, Upper Saddle River, NJ, 1997

About this Item

***INTERNATIONAL EDITION*** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design, the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments contain tracking numbers. Great professional textbook selling experience and expedite shipping service. Trade paperback (US). Glued binding. 268 p. Audience: General/trade.

Seller Inventory # K1270000255

Bibliographic Details

• Title: Introduction to Wavelets and Wavelet Transforms: A Primer
• Publisher: Prentice Hall, Upper Saddle River, NJ
• Publication Date: 1997
• Language: English
• ISBN 10: 0134896009
• ISBN 13: 9780134896007
• Binding: Trade paperback
• Edition: First edition.
• Condition: New in new dust jacket.

About this title

Synopsis

This book is the only source available that presents a unified view of the theory and applications of discrete and continuous- time signals. KEY TOPICS: This is the only book to present the mathematical point of view, as well as the discrete-time signal processing perspective. It brings together information previously available only in research papers, in engineering and applied mathematics. MARKET: Appropriate for researchers and practitioners in signal processing and applied mathematics.

Synopsis

Advanced undergraduate and beginning graduate students, faculty, researchers and practitioners in signal processing, telecommunications, and computer science, and applied mathematics. It assumes a background of Fourier series and transforms and of linear algebra and matrix methods. This primer presents a well balanced blend of the mathematical theory underlying wavelet techniques and a discussion that gives insight into why wavelets are successful in signal analysis, compression, dection, numerical analysis, and a wide variety of other theoretical and practical applications. It fills a gap in the existing wavelet literature with its unified view of expansions of signals into bases and frames, as well as the use of filter banks as descriptions and algorithms.