Wavelets : A Mathematical Tool for Signal Analysis

Charles K. Chui

ISBN 10: 0898713846 / ISBN 13: 9780898713848

Edité par Society For Industrial & Applied Mathematics,U.S. Jan 1987, 1987

A propos de cet article

Neuware - Written for anyone who wants to learn about using wavelets to analyse, process, and synthesize images and signals. Applications are described in detail and there are step-by-step instructions about how to construct and apply wavelets. It is the only mathematically-rigorous monograph written by a mathematician specifically for nonspecialists.

N° de réf. du vendeur 9780898713848

Détails bibliographiques

• Titre: Wavelets : A Mathematical Tool for Signal Analysis
• Éditeur: Society For Industrial & Applied Mathematics,U.S. Jan 1987
• Date de parution: 1987
• Langue: anglais
• ISBN à 10 chiffres: 0898713846
• ISBN à 13 chiffres: 9780898713848
• Reliure: Taschenbuch
• État de l'article: Neu

A propos de ce titre

Synopsis

Mathematically rigorous monograph on wavelets, written specifically for nonspecialists. Places the reader at the forefront of current research.

Présentation de l'éditeur

Wavelets continue to be powerful mathematical tools that can be used to solve problems for which the Fourier (spectral) method does not perform well or cannot handle. This book is for engineers, applied mathematicians, and other scientists who want to learn about using wavelets to analyze, process, and synthesize images and signals. Applications are described in detail and there are step-by-step instructions about how to construct and apply wavelets. The only mathematically rigorous monograph written by a mathematician specifically for nonspecialists, it describes the basic concepts of these mathematical techniques, outlines the procedures for using them, compares the performance of various approaches, and provides information for problem solving, putting the reader at the forefront of current research. Written for an interdisciplinary audience of engineers, applied mathematicians, and other scientists with little or no knowledge of wavelets, readers with an undergraduate background in applied mathematics or engineering will appreciate this book.