Data Acquisition and Signal Processing for Smart Sensors

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Nikolay V. Kirianaki (International Frequency Sensor Association, Lviv, Ukraine) Sergey Y. Yurish (International Frequency Sensor Association, Lviv, Ukraine)

Data Acquisition and Signal Processing for Smart Sensors

Nikolay V. Kirianaki (International Frequency Sensor Association, Lviv, Ukraine), Sergey Y. Yurish (International Frequency Sensor Association, Lviv, Ukraine), Nestor O. Shpak (Institute of Computer Technologies, Lviv, Ukraine) , Vadim P. Deynega (State University Lviv Polytechnic, Ukraine)

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English

John Wiley & Sons Inc
28 March 2002

Precision instruments manufacture; Electronics & communications engineering; Integrated software packages; Signal processing

From simple thermistors to intelligent silicon microdevices with powerful capabilities to communicate information across networks, sensors play an important role in such diverse fields as biomedical and chemical engineering to wireless communications. Introducing a new dependent count method for frequency signal processing, this book presents a practical approach to the design of signal processing sensors.

Modern advanced microsensors technologies require new and equally advanced methods of frequency signal processing in order to function at inreasingly high speeds. The authors provide a comprehensive overview of data acquisition and signal processing methods for the new generation of smart and quasi-smart sensors. The practical approach of the text includes coverage of the design of signal processing methods for digital, frequency, period, duty-cycle and time interval sensors.
* Contains numerous practical examples illustrating the design of unique signal processing sensors and transducers
* Details traditional, novel, and state of the art methods for frequency signal processing
* Coverage of the physical characteristics of smart sensors, development methods and applications potential
* Outlines the concept, principles and nature of the method of dependent count (MDC) ; a unique method for frequency signal processing, developed by the authors

This text is a leading edge resource for measurement engineers, researchers and developers working in microsensors, MEMS and microsystems, as well as advanced undergraduates and graduates in electrical and mechanical engineering.

By: Nikolay V. Kirianaki (International Frequency Sensor Association Lviv Ukraine), Sergey Y. Yurish (International Frequency Sensor Association, Lviv, Ukraine), Nestor O. Shpak (Institute of Computer Technologies, Lviv, Ukraine), Vadim P. Deynega (State University Lviv Polytechnic, Ukraine)
Imprint: John Wiley & Sons Inc
Country of Publication: United States
Dimensions: Height: 245mm, Width: 176mm, Spine: 24mm
Weight: 680g
ISBN: 9780470843178
ISBN 10: 0470843179
Pages: 320
Publication Date: 28 March 2002
Audience: College/higher education , Professional and scholarly , Professional & Vocational , A / AS level , Further / Higher Education
Format: Hardback
Publisher's Status: Active

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.

Nikolay V. Kirianaki and Sergey Y. Yurish are the authors of Data Acquisition and Signal Processing for Smart Sensors, published by Wiley.

Reviews for Data Acquisition and Signal Processing for Smart Sensors

...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 & Measurement Magazine, December 2002)