Mathematical Methods in Time Series Analysis and Digital Image Processing (Hardcover, 2008 ed.)


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.


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Product Description

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.

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Product Details

General

Imprint

Springer-Verlag

Country of origin

Germany

Series

Understanding Complex Systems

Release date

2008

Availability

Expected to ship within 10 - 15 working days

First published

2008

Editors

, , ,

Dimensions

235 x 155 x 16mm (L x W x T)

Format

Hardcover

Pages

294

Edition

2008 ed.

ISBN-13

978-3-540-75631-6

Barcode

9783540756316

Categories

LSN

3-540-75631-0



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