Digital Signal Processing for Measurement Systems: Theory and Applications

✍ Scribed by Gabriele D’Antona, Alessandro Ferrero (auth.)

• Publisher: Springer US
• Year: 2006
• Tongue: English
• Leaves: 275
• Series: Information Technology: Transmission, Processing and Storage
• Edition: 1
• Category: Library

✦ Synopsis

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

✦ Table of Contents

The Digital Signal Processing....Pages 1-4
Discrete-Time Signals and Systems....Pages 5-32
Signal Transformation from the Continuous Time to the Discrete Time Domain....Pages 33-55
Methods for the Reduction of the Leakage Errors....Pages 57-82
Architecture and Performance of DSP-Based Instruments....Pages 83-113
Anti-Aliasing Methods and Sampling Strategies....Pages 115-126
Dynamical Discrete Systems....Pages 127-177
Finite Impulse Response (FIR) Filters....Pages 179-220
Infinite Impulse Response (IIR) Filters....Pages 221-262

✦ Subjects

Signal, Image and Speech Processing; Measurement Science, Instrumentation; Measure and Integration; Applications of Mathematics