Digital signal processing for measurement systems : theory and applications

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...

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Hlavní autoři: D Antona, Gabriele, 19..-, Ferrero, Alessandro, 19..- (Autor)
Médium: Livre numérique
Jazyk:Anglais
Vydáno: New York, NY : Springer US 2006.
Cham : Springer Nature
Edice:Information Technology: Transmission, Processing and Storage
On-line přístup:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
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Poznámka: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Digital Signal Processing for Measurement Systems, Texte imprimé, 9780387249667
• Digital Signal Processing for Measurement Systems, Texte imprimé, 9780387505473
• Digital Signal Processing for Measurement Systems, Texte imprimé, 9781441937629
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245 1 0 |a Digital signal processing for measurement systems :  |b theory and applications   |c by Gabriele D Antona, Alessandro Ferrero. 
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505 0 |a 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. 
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520 |a 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. 
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