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
Rezensionen / Stimmen
From the reviews:
"The material in this book treats specifically the theoretical foundation of the analog-digital conversion process and the digital signal operations in support of the conversion environment. ... this one is important because of its detailed treatment of sampling theory and analog-to-digital conversion as applied to measurement systems. Summing Up: Recommended. Upper-division undergraduates and graduate students." (J. Y. Cheung, CHOICE, Vol. 43 (10), June, 2006)
Reihe
Auflage
Sprache
Verlagsort
Zielgruppe
Für Beruf und Forschung
Professional/practitioner
Illustrationen
Maße
Höhe: 241 mm
Breite: 160 mm
Dicke: 22 mm
Gewicht
ISBN-13
978-0-387-24966-7 (9780387249667)
DOI
Schweitzer Klassifikation
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.
