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
Softcover reprint of hardcover 1st ed. 2006
Sprache
Verlagsort
Zielgruppe
Für Beruf und Forschung
Professional/practitioner
Illustrationen
Maße
Höhe: 235 mm
Breite: 155 mm
Dicke: 16 mm
Gewicht
ISBN-13
978-1-4419-3762-9 (9781441937629)
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.
