Digital Signal Processing for Measurement Systems

Covers the theoretical as well as the practical issues which form the basis of the modern DSP-based instruments and measurement methods. This book covers the basics of DSP theory before discussing the important aspects of DSP unique to measurement science. It approaches signal processing through a measurement science perspective.

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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