Theory and Applications D'Antona, Gabriele. creator author. Ferrero, Alessandro. author. SpringerLink (Online service) text xxu 2006 monographic eng

electronic

recurso electrónico

access XV, 267 p. online resource. 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 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. by Gabriele D'Antona, Alessandro Ferrero. ENGINEERING MATHEMATICS WEIGHTS AND MEASURES ENGINEERING SIGNAL, IMAGE AND SPEECH PROCESSING MEASUREMENT SCIENCE, INSTRUMENTATION MEASURE AND INTEGRATION APPLICATIONS OF MATHEMATICS 621.382 9780387286662 99780387286662 http://dx.doi.org/10.1007/0-387-28666-7 http://dx.doi.org/10.1007/0-387-28666-7 100301 20260521091849.0 978-0-387-28666-2