Applied Wavelet Analysis with S-PLUS

Andrew Bruce

ISBN 10: 0387947140 / ISBN 13: 9780387947143

Published by Springer, Springer, 1996

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9780387947143

Bibliographic Details

• Title: Applied Wavelet Analysis with S-PLUS
• Publisher: Springer, Springer
• Publication Date: 1996
• Language: English
• ISBN 10: 0387947140
• ISBN 13: 9780387947143
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 233W x 155H x 20D millimeters 233 millimeters width by 155 millimeters height by 20 millimeters depth
• Weight: 541 grams

About this title

Synopsis

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.

From the Back Cover

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. Wavelets, as well as 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 compressing, and time-frequency acoustic signal analysis.