Detection and classification -- Parameter estimation -- State estimation -- Supervised learning -- Feature extraction and selection -- Unsupervised learning -- State estimation in practice -- Worked out examples -- Topics selected form functional analysis -- Topics selected from linear algebra and matrix theory -- Probabillity theory -- Discrete-time dynamic systems -- Introduction to PRTools -- MATLAB toolboxes used
Summary
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
Analysis
Communications Technology
Bibliography
Includes bibliographical references and index
Notes
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212 MiAaHDL
