This is the first book to cover all aspects of DSP-based method and instruments, approaching signal processing from a unique measurement science perspective. It deals with both basic theory and state-of-the-art applications, discussing everything from the sampling theorem to measurement accuracy. The author provides strategies for formatting measurement errors, discusses discrete systems and FIR/IIR filters, and offers basic guidelines for their specification and design.

First book covering all aspects of DSP-based method and instruments Offers a unique measurement science perspective Covers both theory and state-of-the-art applications, discussing everything from the sampling theorem to the design of FR/IRR filters Includes supplementary material: sn.pub/extras

Klappentext

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

Inhalt
The Digital Signal Processing.- Discrete-Time Signals and Systems.- Signal Transformation from the Continuous Time to the Discrete Time Domain.- Methods for the Reduction of the Leakage Errors.- Architecture and Performance of DSP-Based Instruments.- Anti-Aliasing Methods and Sampling Strategies.- Dynamical Discrete Systems.- Finite Impulse Response (FIR) Filters.- Infinite Impulse Response (IIR) Filters.