Classification, Parameter Estimation and State Estimation

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