Digital Signal Processing for Measurement Systems: Theory and Applications
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

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Digital Signal Processing for Measurement Systems: Theory and Applications
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

54.99 In Stock
Digital Signal Processing for Measurement Systems: Theory and Applications

Digital Signal Processing for Measurement Systems: Theory and Applications

Digital Signal Processing for Measurement Systems: Theory and Applications

Digital Signal Processing for Measurement Systems: Theory and Applications

Paperback(Softcover reprint of hardcover 1st ed. 2006)

$54.99 
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Overview

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


Product Details

ISBN-13: 9781441937629
Publisher: Springer US
Publication date: 11/24/2010
Series: Information Technology: Transmission, Processing and Storage
Edition description: Softcover reprint of hardcover 1st ed. 2006
Pages: 268
Product dimensions: 6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

The Digital Signal Processing.- Discrete-Time Signals and Systems.- Signal Transformation from the Continuous Time to the Discrete Time Domain.- Methods for the Reduction of the Leakage Errors.- Architecture and Performance of DSP-Based Instruments.- Anti-Aliasing Methods and Sampling Strategies.- Dynamical Discrete Systems.- Finite Impulse Response (FIR) Filters.- Infinite Impulse Response (IIR) Filters.
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