More books in category: Sensors
by: Nikolay V. Kirianaki, Sergey Y. Yurish, Nestor O. Shpak, Vadim P. Deynega
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Topics include: frequency output sensors, relative quantization error, measurand frequency, quantization window, base energy cost, indirect counting method, quantization error reduction, absolute quantization error, quartz generator, left lower boundary, standard counting method, microcontroller core, frequency matching device, reference time interval, high metrological, dependent count, allowable variants, sensor interfacing, constant elapsed time, multichannel data acquisition systems, uniform distribution law, digital temperature sensors, metrological performances, overflow pulse, impulse feedback
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Review
"...this book provides a good basis for anyone entering or studying the field of smart sensors...not only...for the inexperienced...but also...very useful to those with some experience." (IEEE Instrumentation and Measurement Magazine, December 2002)
Book Description
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 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.
From the Back Cover
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 CountT 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.
Table of Contents
Preface
List of Abbreviations and Symbols
Introduction
Smart Sensors for Electrical and Non-Electrical, Physical and Chemical Variables: Tendencies 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
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