Four Short Courses on Harmonic Analysis : Wavelets, Frames, Time-Frequency Methods, and Applications to Signal and Image Analysis

Brigitte Forster

ISBN 10: 0817648909 / ISBN 13: 9780817648909

Published by Springer Nature B.V., 2009

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This state-of-the-art textbook covers four research directions in harmonic analysis and presents some of its latest applications. It is the first work that combines spline theory, wavelets, frames, and time-frequency methods up to construction on manifolds other then Rn.Written by internationally renowned mathematicians,the work's main emphasis is on the interdependence of the four modern research directions. Each chapter ends with exercises that allow for a more in-depth understanding of the material and are intended to stimulate the reader toward further research.Four Short Courses in Harmonic Analysis is intended as a graduate-level textbook for a course in harmonic analysis. It is also an excellent reference guide for researchers and practitioners with diverse mathematical backgrounds, including theoretical and applied mathematics, image and signal processing engineering, and communication theory.

Seller Inventory # 9780817648909

Bibliographic Details

• Title: Four Short Courses on Harmonic Analysis : Wavelets, Frames, Time-Frequency Methods, and Applications to Signal and Image Analysis
• Publisher: Springer Nature B.V.
• Publication Date: 2009
• Language: English
• ISBN 10: 0817648909
• ISBN 13: 9780817648909
• Binding: Buch
• Condition: Neu
• Dimensions: 234W x 156H x 16D millimeters 234 millimeters width by 156 millimeters height by 16 millimeters depth
• Weight: 553 grams

About this title

Synopsis

This state-of-the-art textbook covers four research directions in harmonic analysis and presents some of its latest applications. It is the first work that combines spline theory, wavelets, frames, and time-frequency methods up to construction on manifolds other then Rn.

 

Written by internationally renowned mathematicians, the work's main emphasis is on the interdependence of the four modern research directions. Each chapter ends with exercises that allow for a more in-depth understanding of the material and are intended to stimulate the reader toward further research.

 

Four Short Courses in Harmonic Analysis is intended as a graduate-level textbook for a course in harmonic analysis. It is also an excellent reference guide for researchers and practitioners with diverse mathematical backgrounds, including theoretical and applied mathematics, image and signal processing engineering, and communication theory.

From the Back Cover

This state-of-the-art textbook examines four research directions in harmonic analysis and features some of the latest applications in the field, including cosmic microwave background analysis, human cortex image denoising, and wireless communication. The work is the first one that combines spline theory (from a numerical or approximation-theoretical view), wavelets, frames, and time-frequency methods leading up to a construction of wavelets on manifolds other than Rⁿ.

Written by internationally renowned mathematicians, the interdisciplinary chapters are expository by design, enabling the reader to understand the theory behind modern image and signal processing methodologies. The main emphasis throughout the book is on the interdependence of the four modern research directions covered. Each chapter ends with exercises that allow for a more in-depth understanding of the material and are intended to stimulate the reader toward further research. A comprehensive index completes the work.

Topics covered:

* Frames and bases in mathematics and engineering

* Wavelets with composite dilations and their applications

* Wavelets on the sphere and their applications

* Wiener's Lemma: theme and variations

Four Short Courses on Harmonic Analysis is intended as a graduate-level textbook for courses or seminars on harmonic analysis and its applications. The work is also an excellent reference or self-study guide for researchers and practitioners with diverse mathematical backgrounds working in different fields such as pure and applied mathematics, image and signal processing engineering, mathematical physics, and communication theory.