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Data Acquisition and Signal Processing for Smart Sensors by Vadim P. Deynega, Nestor O. Shpak, Sergey Y. Yurish, Nikolay V. Kirianaki

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PREFACE

Smart sensors are of great interest in many fields of industry, control systems, biomedical applications, etc. Most books about sensor instrumentation focus on the classical approach to data acquisition, that is the information is in the amplitude of a voltage or a current signal. Only a few book chapters, articles and papers consider data acquisition from digital and quasi-digital sensors. Smart sensors and microsensors increasingly rely on resonant phenomena and variable oscillators, where the information is embedded not in the amplitude but in the frequency or time parameter of the output signal. As a rule, the majority of scientific publications dedicated to smart sensors reflect only the technological achievements of microelectronics. However, modern advanced microsensor technologies require novel advanced measuring techniques.

Because data acquisition and signal processing for smart sensors have not been adequately covered in the literature before, this book aims to fill a significant gap.

This book is based on 40 years of the authors' practical experience in the design and creation of sensor instrumentation as well as the development of novel methods and algorithms for frequency–time-domain measurement, conversion and signal processing. Digital and quasi-digital (frequency, period, duty-cycle, time interval and pulse number output) sensors are covered in this book.

Research results, described in this book, are relevant to the authors' international research in the ...

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