Data Acquisition and Signal Processing for Smart Sensors

Advanced microsensor technology is making a significant impact in fields as diverse as wireless communications and automotive, biomedical and chemical engineering. Data Acquisition and Signal Processing for Smart Sensors draws on the authors′ collective practical experience in the design of sensor instrumentation to provide a systematic treatment of smart sensors and sensor systems. This unique reference presents an alternative to the classical approach to data acquisition and covers signal processing methods for digital and quasi–digital sensors.
Features Include:
∗ Introduction to the authors′ novel Method of the Dependent Count(tm) for frequency (period) conversion and measurement and its applications.
∗ Consideration of modern sensor interface circuits and buses, along with an introduction to the Universal Transducer Interface (UTI) and Time to Digital Converter (TDC).
∗ Methods of frequency–to–code conversion for smart sensors, including direct, indirect, combined, interpolation and Fourier transform based techniques as well as advanced and self–adapting conversion methods.
∗ Comparative analysis of smart sensor systems with time– and space–division channelling functions.
∗ Detailed glossary of related terms accompanied by a guide to related web resources.
With coverage ranging from the detailed analysis of available conversion methods to software level smart sensor design, Data Acquisition and Signal Processing for Smart Sensors will have broad appeal amongst instrumentation and measurement professionals. Advanced students and researchers in microelectronics, engineers and developers of microsensor systems will appreciate the comprehensive treatment of this emerging area.

Spis treści:
Preface.
List of Abbreviations and Symbols.
Introduction.
Smart Sensors for Electrical and Non–Electrical, Physical and Chemical Variables: Ten dencies and Perspectives.
Converters for Different Variables to Frequency–Time Parameters of the Electric Signal.
Data Acquisition Methods for Multichannel Sensor Systems.
Methods of Frequency–to–Code Conversion.
Advanced and Self–Adapting Methods of Frequency–to–Code Conversion.
Signal Processing in Quasi–Digital Smart Sensors.
Digital Output Smart Sensors with Software–Controlled Performances and Functional Capabilities.
Multichannel Intelligent and Virtual Sensor Systems.
Smart Sensor Design at Software Level.
Smart Sensor Buses and Interface Circuits.
Future Directions.
References.
Appendix A: What is on the Sensors Web Portal?
Glossary.
Index.

Okładka tylna:
Advanced microsensor technology is making a significant impact in fields as diverse as wireless communications and automotive, biomedical and chemical engineering. Data Acquisition and Signal Processing for Smart Sensors draws on the authors′ collective practical experience in the design of sensor instrumentation to provide a systematic treatment of smart sensors and sensor systems. This unique reference presents an alternative to the classical approach to data acquisition and covers signal processing methods for digital and quasi–digital sensors.
Features Include:
∗ Introduction to the authors′ novel Method of the Dependent Count(tm) for frequency (period) conversion and measurement and its applications.
∗ Consideration of modern sensor interface circuits and buses, along with an introduction to the Universal Transducer Interface (UTI) and Time to Digital Converter (TDC).
∗ Methods of frequency–to–code conversion for smart sensors, including direct, indirect, combined, interpolation and Fourier transform based techniques as well as advanced and self–adapting conversion methods.
∗ Comparative analysis of smart sensor syste ms with time– and space–division channelling functions.
∗ Detailed glossary of related terms accompanied by a guide to related web resources.
With coverage ranging from the detailed analysis of available conversion methods to software level smart sensor design, Data Acquisition and Signal Processing for Smart Sensors will have broad appeal amongst instrumentation and measurement professionals. Advanced students and researchers in microelectronics, engineers and developers of microsensor systems will appreciate the comprehensive treatment of this emerging area.