Mathematical Methods in Time Series Analysis and Digital Image Processing (Understanding Complex Systems)

Dahlhaus, Rainer (Editor) / Kurths, Jürgen (Editor) / Maass, Peter (Editor) / Timmer, Jens (Editor)

ISBN 10: 3642094821 / ISBN 13: 9783642094828

Published by Springer, 2010

About this Item

reprint edition. 308 pages. 9.00x6.00x0.73 inches. In Stock.

Seller Inventory # 3642094821

Bibliographic Details

• Title: Mathematical Methods in Time Series Analysis and Digital Image Processing (Understanding Complex Systems)
• Publisher: Springer
• Publication Date: 2010
• Language: English
• ISBN 10: 3642094821
• ISBN 13: 9783642094828
• Binding: Paperback
• Condition: Brand New
• Weight: 0.47 kilograms

About this title

Synopsis

The aim of this volume is to bring together research directions in theoretical signal and imaging processing developed rather independently in electrical engineering, theoretical physics, mathematics and the computer sciences.

In particular, mathematically justified algorithms and methods, the mathematical analysis of these algorithms, and methods as well as the investigation of connections between methods from time series analysis and image processing are reviewed. An interdisciplinary comparison of these methods, drawing upon common sets of test problems from medicine and geophysical/environmental sciences, is also addressed.

This volume coherently summarizes work carried out in the field of theoretical signal and image processing. It focuses on non-linear and non-parametric models for time series as well as on adaptive methods in image processing.

From the Back Cover

The aim of this volume is to bring together research directions in theoretical signal and imaging processing developed rather independently in electrical engineering, theoretical physics, mathematics and the computer sciences. 

In particular, mathematically justified algorithms and methods, the mathematical analysis of these algorithms, and methods as well as the investigation of connections between methods from time series analysis and image processing are reviewed. An  interdisciplinary comparison of these methods, drawing upon common sets of test problems from medicine and geophysical/enviromental sciences, is also addressed.

This volume coherently summarizes work carried out in the field of theoretical signal and image processing. It focuses on non-linear and non-parametric models for time series as well as on adaptive methods in image processing.