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Engineering - Signals & Communication | Digital Signal Processing for Measurement Systems - Theory and Applications

Digital Signal Processing for Measurement Systems

Theory and Applications

D'Antona, Gabriele, Ferrero, Alessandro

2006, XVI, 268 p.

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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

Content Level » Professional/practitioner

Keywords » Signal - digital signal processing - filters - measurement - measurement systems - sampling rate - signal processing

Related subjects » Analysis - Applications - Applied & Technical Physics - Signals & Communication

Table of contents / Sample pages 

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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