Книга Data Acquisition and Signal Processing for Smart Sensors Nikolay V. Kirianaki

Data Acquisition and Signal Processing for Smart Sensors

Език: Английски език
Корици: С твърди корици
Издател: John Wiley & Sons Inc
Наличност: Външен склад
Изпращаме след 14-20 дни
198.47 388.17 лв
From simple thermistors to intelligent silicon microdevices with powerful capabilities to communicat...

Информация за книгата

Език
Английски език
Корици
Книга - С твърди корици
Издадена
2002
страници
298
EAN
9780470843178
ISBN
0470843179
Enbook ID
04885978
Издател
Теглоt
660
Размери
177 x 252 x 22

Пълно описание

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. aeo Contains numerous practical examples illustrating the design of unique signal processing sensors and transducers aeo Details traditional, novel, and state of the art methods for frequency signal processing aeo Coverage of the physical characteristics of smart sensors, development methods and applications potential aeo 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.

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