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Digital Signal Processing for Measurement Systems

Theory and Applications

  • Textbook
  • © 2006

Overview

  • First book covering all aspects of DSP-based method and instruments
  • Offers a unique measurement science perspective
  • Covers both theory and state-of-the-art applications, discussing everything from the sampling theorem to the design of FR/IRR filters
  • Includes supplementary material: sn.pub/extras

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Table of contents (9 chapters)

Keywords

About this book

Digital Signal Processing for Measurement Systems: Theory and Applications covers the theoretical as well as the practical issues which form the basis of the modern DSP-based instruments and measurement methods.  It covers the basics of DSP theory before discussing the critical aspects of DSP unique to measurement science.

Key Features:

Approaches signal processing through a unique measurement science perspective

Covers both theory and state-of-the-art applications, from the sampling theorem to the design of FIR/IIR filters

Includes important topics, for example, problems that arise when sampling periodic signals and the relationship between the sampling rate and the SNR

Reviews

From the reviews:

"The material in this book treats specifically the theoretical foundation of the analog-digital conversion process and the digital signal operations in support of the conversion environment. ... this one is important because of its detailed treatment of sampling theory and analog-to-digital conversion as applied to measurement systems. Summing Up: Recommended. Upper-division undergraduates and graduate students." (J. Y. Cheung, CHOICE, Vol. 43 (10), June, 2006)

Authors and Affiliations

  • Department of Electrical Engineering, Politechnic University of Milan, Milano, Italy

    Gabriele D’Antona, Alessandro Ferrero

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