Classification, Parameter Estimation and State Estimation (PDF)
An Engineering Approach Using MATLAB
(Sprache: Englisch)
Classification, Parameter Estimation and State Estimation isa practical guide for data analysts and designers of measurementsystems and postgraduates students that are interested in advancedmeasurement systems using MATLAB. 'Prtools' is a powerful...
Leider schon ausverkauft
eBook
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Classification, Parameter Estimation and State Estimation (PDF)“
Classification, Parameter Estimation and State Estimation isa practical guide for data analysts and designers of measurementsystems and postgraduates students that are interested in advancedmeasurement systems using MATLAB. 'Prtools' is a powerful MATLABtoolbox for pattern recognition and is written and owned by one ofthe co-authors, B. Duin of the Delft University of Technology.
After an introductory chapter, the book provides the theoreticalconstruction for classification, estimation and state estimation.The book also deals with the skills required to bring thetheoretical concepts to practical systems, and how to evaluatethese systems. Together with the many examples in the chapters, thebook is accompanied by a MATLAB toolbox for pattern recognition andclassification. The appendix provides the necessary documentationfor this toolbox as well as an overview of the most usefulfunctions from these toolboxes. With its integrated and unifiedapproach to classification, parameter estimation and stateestimation, this book is a suitable practical supplement inexisting university courses in pattern classification, optimalestimation and data analysis.
* Covers all contemporary main methods for classification andestimation.
* Integrated approach to classification, parameter estimation andstate estimation
* Highlights the practical deployment of theoretical issues.
* Provides a concise and practical approach supported by MATLABtoolbox.
* Offers exercises at the end of each chapter and numerous workedout examples.
* PRtools toolbox (MATLAB) and code of worked out examplesavailable from the internet
* Many examples showing implementations in MATLAB
* Enables students to practice their skills using a MATLABenvironment
After an introductory chapter, the book provides the theoreticalconstruction for classification, estimation and state estimation.The book also deals with the skills required to bring thetheoretical concepts to practical systems, and how to evaluatethese systems. Together with the many examples in the chapters, thebook is accompanied by a MATLAB toolbox for pattern recognition andclassification. The appendix provides the necessary documentationfor this toolbox as well as an overview of the most usefulfunctions from these toolboxes. With its integrated and unifiedapproach to classification, parameter estimation and stateestimation, this book is a suitable practical supplement inexisting university courses in pattern classification, optimalestimation and data analysis.
* Covers all contemporary main methods for classification andestimation.
* Integrated approach to classification, parameter estimation andstate estimation
* Highlights the practical deployment of theoretical issues.
* Provides a concise and practical approach supported by MATLABtoolbox.
* Offers exercises at the end of each chapter and numerous workedout examples.
* PRtools toolbox (MATLAB) and code of worked out examplesavailable from the internet
* Many examples showing implementations in MATLAB
* Enables students to practice their skills using a MATLABenvironment
Inhaltsverzeichnis zu „Classification, Parameter Estimation and State Estimation (PDF)“
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.
Bibliographische Angaben
- Autoren: Ferdinand van der Heijden , Robert Duin , Dick de Ridder , David M. J. Tax
- 2005, 1. Auflage, 440 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 0470090146
- ISBN-13: 9780470090145
- Erscheinungsdatum: 10.06.2005
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 6.60 MB
- Mit Kopierschutz
Sprache:
Englisch
Kopierschutz
Dieses eBook können Sie uneingeschränkt auf allen Geräten der tolino Familie lesen. Zum Lesen auf sonstigen eReadern und am PC benötigen Sie eine Adobe ID.
Kommentar zu "Classification, Parameter Estimation and State Estimation"
0 Gebrauchte Artikel zu „Classification, Parameter Estimation and State Estimation“
Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
---|
Schreiben Sie einen Kommentar zu "Classification, Parameter Estimation and State Estimation".
Kommentar verfassen