Digital Signal Processing for Measurement Systems: Theory and Applications by Gabriele D'Antona
Digital Signal Processing for Measurement Systems: Theory and Applications covers the theoretical as well as the practical issues which form the basis of themodern DSP-based instruments and measurement methods. It covers the basicsof DSP theorybefore discussing thecritical 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