This excellent Senior undergraduate/graduate textbook offers an unprecedented measurement of science perspective on DSP theory and applications, a wealth of definitions and real-life examples making it invaluable for students, while practical.

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