Overview
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About this book
This book introduces applied wavelet analysis through the S-PLUS software system. Using a visual data analysis approach, wavelet concepts are explained in a way that is intuitive and easy to understand. In addition to wavelets, a whole range of related signal processing techniques such as wavelet packets, local cosine analysis, and matching pursuits are covered. Applications of wavelet analysis are illustrated, including nonparametric function estimation, digital image compression, and time-frequency signal analysis.The book and software is intended for a broad range of data analysts, scientists, and engineers. While most textbooks on wavelet analysis require advanced training in mathematics, this book minimizes reliance on formal mathematical methods. Readers should be familiar with calculus and linear algebra at the undergraduate level.
Bibliographic Information
Book Title: Applied Wavelet Analysis with S-PLUS
Authors: Andrew Bruce, Hong-Ye Gao
Publisher: Springer New York, NY
Copyright Information: Springer-Verlag New York 1996
Hardcover ISBN: 978-0-387-94714-3Published: 20 June 1996
Edition Number: 1
Number of Pages: XXII, 338
Topics: Statistics and Computing/Statistics Programs, Communications Engineering, Networks, Probability Theory and Stochastic Processes