Classification, Parameter Estimation and State Estimation: An Engineering Approach Using MATLAB / Edition 1

Hardcover (Print)
Buy New
Buy New from BN.com
$119.58
Used and New from Other Sellers
Used and New from Other Sellers
from $119.57
Usually ships in 1-2 business days
(Save 20%)
Other sellers (Hardcover)
  • All (10) from $119.57   
  • New (5) from $119.57   
  • Used (5) from $119.57   

Overview

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
Read More Show Less

Editorial Reviews

From the Publisher
"It is well addressed not only to students and researchers…but also to practioners" (Zentralblatt MATH Volume 1079)
Read More Show Less

Product Details

  • ISBN-13: 9780470090138
  • Publisher: Wiley
  • Publication date: 11/22/2004
  • Edition number: 1
  • Pages: 440
  • Product dimensions: 6.38 (w) x 9.13 (h) x 1.12 (d)

Meet the Author

F. van der Heijden, Laboratory for Measurement and Instrumentation, Faculty of Electrical Engineering, University of Twente, P.O. Box 217, 7500AE Enschede, The Netherlands

His main research area is in Measurement and Instrumentation at an academic level and covers sensors and micro measurement systems, and image based measurement systems. He has written books, many book chapters and journal articles.

R.P.W. Duin, Pattern Recognition Group, Delft University of Technology, Department of Imaging Sciences & Technology Lorentzeg 1-2628 CD Delft, The Netherlands

His research includes: theory and applications of image processing and pattern recognition, with a special interest in sensors, measurements and measurement accuracy. He also studies the development and use of tools in this area. He has written 6 books (in English and Dutch) and many journal and conference papers and chapters in books. He is a member of Advanced School for Computing and Imaging (ASCI), Dutch Pattern Recognition Society (NVPHBV), International Association for Pattern Recognition (IAPR) and IAPR Technical Committee TC1 (statistical pattern recognition).

D. de Ridder, Pattern Recognition Group, Delft University of Technology, Department of Imaging Sciences & Technology Lorentzeg 1-2628 CD Delft, The Netherlands

He mainly works on methods for mapping high-dimensional measurement sets to low-dimensional representations, suitable for subsequent regression or classification. He works closely with R Duin and has co-written many papers with him.

D.M.J. Tax, Fraunhofer FIRST.IDA, Kekulèstr. 7, D-12489, Berlin, Germany

His main research interest is one-class classification. He was the author/co-author of many journal publications

Read More Show Less

Table of Contents

Preface.

Foreword.

1. Introduction.

2. Detection and Classification.

3. Parameter Estimation.

4. State Estimation.

5. Supervised Learning.

6. Feature Extraction and Selection.

7. Unsupervised Learning.

8. State Estimation in Practice.

9. Worked Out Examples.

Appendix A: Topics Selected from Functional Analysis.

Appendix B: Topics Selected from Linear Algebra and Matrix Theory.

Appendix C: Probability Theory.

Appendix D: Discrete-time Dynamic Systems.

Appendix E: Introduction to PRTools.

Appendix F: Used MATLAB Toolboxes.

Index.

Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star

(0)

4 Star

(0)

3 Star

(0)

2 Star

(0)

1 Star

(0)

Your Rating:

Your Name: Create a Pen Name or

Barnes & Noble.com Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & Noble.com that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & Noble.com does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at BN.com or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation

Reminder:

  • - By submitting a review, you grant to Barnes & Noble.com and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Noble.com Terms of Use.
  • - Barnes & Noble.com reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & Noble.com also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on BN.com. It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

 
Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)