Digital Signal Processing for Measurement Systems
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.
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
First book covering all aspects of DSP-based method and instrumentsOffers a unique measurement science perspectiveCovers both theory and state-of-the-art applications, discussing everything from the sampling theorem to the design of FR/IRR filters