Classification, Parameter Estimation and State Estimation: An Engineering Approach Using MATLAB [Hardcover]

Ferdinand van der Heijden (Author), Robert Duin (Author), Dick de Ridder (Author), David M. J. Tax (Author)

Book Description

ISBN-10: 0470090138 | ISBN-13: 978-0470090138 | Publication Date: November 22, 2004 | Edition: 1

Classification, Parameter Estimation and State Estimation is a practical guide for data analysts and designers of measurement systems and postgraduates students that are interested in advanced measurement systems using MATLAB. 'Prtools' is a powerful MATLAB toolbox for pattern recognition and is written and owned by one of the co-authors, B. Duin of the Delft University of Technology.

After an introductory chapter, the book provides the theoretical construction for classification, estimation and state estimation. The book also deals with the skills required to bring the theoretical concepts to practical systems, and how to evaluate these systems. Together with the many examples in the chapters, the book is accompanied by a MATLAB toolbox for pattern recognition and classification. The appendix provides the necessary documentation for this toolbox as well as an overview of the most useful functions from these toolboxes. With its integrated and unified approach to classification, parameter estimation and state estimation, this book is a suitable practical supplement in existing university courses in pattern classification, optimal estimation and data analysis.

• Covers all contemporary main methods for classification and estimation.
• Integrated approach to classification, parameter estimation and state estimation
• Highlights the practical deployment of theoretical issues.
• Provides a concise and practical approach supported by MATLAB toolbox.
• Offers exercises at the end of each chapter and numerous worked out examples.
• PRtools toolbox (MATLAB) and code of worked out examples available from the internet
• Many examples showing implementations in MATLAB
• Enables students to practice their skills using a MATLAB environment

Editorial Reviews

Review

"It is well addressed not only to students and researchers…but also to practioners" (Zentralblatt MATH Volume 1079)

From the Back Cover

Classification, Parameter Estimation and State Estimation is a practical and concise inter-disciplinary guide for data analysts and designers interested in advanced measurement-based systems. Highlighting the practical deployment of theoretical issues, the book provides a useful experimentation platform for skilled engineers to implement and evaluate design concepts.

Features:

• A fully integrated and unified approach to parameter estimation, pattern classification and optimal (state) estimation.
• An introduction to emerging techniques such as support vector machines and particle filtering.
• Implementations in MATLAB using the PRTools toolbox, with appendices providing the necessary documentation and useful functions for this and other existing toolboxes.
• End-of-chapter exercises and numerous worked out examples within the text and on the Internet.

A valuable text for students and researchers in engineering, computer science, physics and applied mathematics, this book will also prove an essential reference for the practising civil, control, electrical and mechanical engineer.

See all Editorial Reviews

Product Details

• Hardcover: 440 pages
• Publisher: Wiley; 1 edition (November 22, 2004)
• Language: English
• ISBN-10: 0470090138
• ISBN-13: 978-0470090138
• Product Dimensions: 9.2 x 6.3 x 1.1 inches
• Shipping Weight: 1.7 pounds (View shipping rates and policies)
• Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
• Amazon Best Sellers Rank: #1,130,351 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews

8 of 9 people found the following review helpful:

5.0 out of 5 stars An Excellent Book, November 22, 2004

By 

Sei Ryu "Ryu" (Canada) - See all my reviews

This review is from: Classification, Parameter Estimation and State Estimation: An Engineering Approach Using MATLAB (Hardcover)

I am waiting for a book like this. Actually, there are some good literatures on pattern recognition on the market and those were written by very good researchers in this area. However, those were not written like this one, which is explicitly and neatly organized. The authors do not play formulas with readers. A good book makes complicated things simple and lets the readers understand the contents. A good researcher does not mean a good book author, but the authors of this book are excellent in both. I recommend this book to all.