1.

Record Nr.

UNINA9910142531103321

Autore

Kirianaki Nikolay V

Titolo

Data acquisition and signal processing for smart sensors

Pubbl/distr/stampa

[Place of publication not identified], : John Wiley & Sons Incorporated, 2002

ISBN

1-280-55475-4

9786610554751

1-60119-078-6

0-470-84610-0

Edizione

[1st edition]

Descrizione fisica

1 online resource (1 v.) : ill

Disciplina

681.2

Soggetti

Engineering - Electronics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di bibliografia

Includes bibliographical references and index.

Sommario/riassunto

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.