Digital Signal Processing for Measurement Systems Theory and Applications / [recurso electrónico] :
by Gabriele D'Antona, Alessandro Ferrero.
- XV, 267 p. online resource.
- Information Technology: Transmission, Processing and Storage .
- Information Technology: Transmission, Processing and Storage .
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.
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
9780387286662 99780387286662
10.1007/0-387-28666-7 doi
ENGINEERING. MATHEMATICS. WEIGHTS AND MEASURES. ENGINEERING. SIGNAL, IMAGE AND SPEECH PROCESSING. MEASUREMENT SCIENCE, INSTRUMENTATION. MEASURE AND INTEGRATION. APPLICATIONS OF MATHEMATICS.