Digital Signal Processing for Measurement Systems

Theory and Applications

AvGabriele D'Antona,Alessandro Ferrero

Inbunden, Engelska, 2005

Del i serien Information Technology: Transmission, Processing and Storage

534 kr

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Häftad

534 kr

Beskrivning

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 perspectiveCovers both theory and state-of-the-art applications, from the sampling theorem to the design of FIR/IIR filtersIncludes important topics, for example, problems that arise when sampling periodic signals and the relationship between the sampling rate and the SNR

Produktinformation

Utgivningsdatum:2005-11-16
Mått:155 x 235 x 22 mm
Vikt:598 g
Format:Inbunden
Språk:Engelska
Serie:Information Technology: Transmission, Processing and Storage
Antal sidor:268
Upplaga:2006
Förlag:Springer-Verlag New York Inc.
ISBN:9780387249667

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Recensioner i media

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)

Innehållsförteckning

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.