Classification, Parameter Estimation and State Estimation, 2nd Edition

Preface

Information processing has always been an important factor in the development of human society and its role is still increasing. The inventions of advanced information devices paved the way for achievements in a diversity of fields like trade, navigation, agriculture, industry, transportation and communication. The term ‘information device’ refers here to systems for the sensing, acquisition, processing and outputting of information from the real world. Usually, they are measurement systems. Sensing and acquisition provide us with signals that bear a direct relation to some of the physical properties of the sensed object or process. Often, the information of interest is hidden in these signals. Signal processing is needed to reveal the information and to transform it into an explicit form. Further, in the past 10 years image processing (together with intelligent computer vision) has gone through rapid developments. There are substantial new developments on, for example, machine learning methods (such as Adaboost and it's varieties, Deep learning etc.) and particle filtering like parameter estimation methods.

The three topics discussed in this book, classification, parameter estimation and state estimation, share a common factor in the sense that each topic provides the theory and methodology for the functional design of the signal processing part of an information device. The major distinction between the topics is the type of information that is outputted. In classification ...