Wavelets and Other Orthogonal Systems with Applications

Gilbert G. Walter

ISBN 10: 0849378788 / ISBN 13: 9780849378782

Published by CRC Press, 1994

About this Item

This book makes accessible to both mathematicians and engineers important elements of the theory, construction, and application of orthogonal wavelets. It is integrated with more traditional orthogonal series, such as Fourier series and orthogonal polynomials. It treats the interaction of both with generalized functions (delta functions), which have played an important part in engineering theory but whose rules are often vaguely presented. Unlike most other books that are excessively technical, this text/reference presents the basic concepts and examples in a readable form. Much of the material on wavelets has not appeared previously in book form. Applications to statistics, sampling theorems, and stochastic processes are given. In particular, the close affinity between wavelets and sampling theorems is explained and developed. Solid binding. Please note the image in this listing is a stock photo and may not match the covers of the actual item.

Seller Inventory # 123462517

Bibliographic Details

• Title: Wavelets and Other Orthogonal Systems with Applications
• Publisher: CRC Press
• Publication Date: 1994
• Language: English
• ISBN 10: 0849378788
• ISBN 13: 9780849378782
• Binding: Hardcover
• Condition: Fine
• Dust Jacket Condition: No Jacket
• Book Type: Book

About this title

Synopsis

This book makes accessible to both mathematicians and engineers important elements of the theory, construction, and application of orthogonal wavelets. It is integrated with more traditional orthogonal series, such as Fourier series and orthogonal polynomials. It treats the interaction of both with generalized functions (delta functions), which have played an important part in engineering theory but whose rules are often vaguely presented. Unlike most other books that are excessively technical, this text/reference presents the basic concepts and examples in a readable form. Much of the material on wavelets has not appeared previously in book form. Applications to statistics, sampling theorems, and stochastic processes are given. In particular, the close affinity between wavelets and sampling theorems is explained and developed.

About the Author

Walter; Gilbert G. University of Wisconsin, Milwaukee, Wisconsin, USA,