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
General
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