Editorial Review:
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
Cached date: AWS Called=true
You may also be interested in these products:
These categories may also be of interest to you:
Customer Reviews
Average Customer Rating: 
An Excellent Book 2004-11-22
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.
|
|