
Real Analysis with an Introduction to Wavelets and Applications
Academic Press
Published on 31. December 2004
Book
Hardback
392 pages
978-0-12-354861-0 (ISBN)
Description
Real Analysis with an Introduction to Wavelets and Applications is an in-depth look at real analysis and its applications, including an introduction to wavelet analysis, a popular topic in "applied real analysis". This text makes a very natural connection between the classic pure analysis and the applied topics, including measure theory, Lebesgue Integral, harmonic analysis and wavelet theory with many associated applications.
Reviews / Votes
"...the wavelet treatment makes it attractive and gives it an edge over many texts." --David Ruch, Metropolitan State College"The exercises I looked at were at a much more appropriate level than my current text. This book provides more exposition and more applications than traditional real analysis texts." --Doug Hardin, Vanderbilt University
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
The book is intended for a one year senior undergraduate or beginning graduate course in Real
Analysis, Applied Analysis or Applied Mathematics found in mathematics, statistics, engineering and physics departments.
Product notice
Laminated cover
Dimensions
Height: 270 mm
Width: 172 mm
Thickness: 40 mm
Weight
740 gr
ISBN-13
978-0-12-354861-0 (9780123548610)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
By Mr. Don Hong, Mr. Jianzhong Wang and Mr. Robert Gardner
Author
East Tennessee State University, Johnson City, TN
Sam Houston State University, Huntsville, TX
East Tennessee State University, Johnson City, TN
Content
Preface
1. Fundamentals
2. Measure Theory
3. The Lebesgue Integral
4. Special Topics of Lebesgue Integral & Applications
5. Vector Spaces, Hilbert Spaces, and the L2 Space
6. Fourier Analysis
7. Orthonormal Wavelet Bases
8. Compactly Supported Wavelets
9. Wavelets in Signal Processing
Appendix A: List of Symbols
1. Fundamentals
2. Measure Theory
3. The Lebesgue Integral
4. Special Topics of Lebesgue Integral & Applications
5. Vector Spaces, Hilbert Spaces, and the L2 Space
6. Fourier Analysis
7. Orthonormal Wavelet Bases
8. Compactly Supported Wavelets
9. Wavelets in Signal Processing
Appendix A: List of Symbols