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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Détails bibliographiques
Auteurs principaux: D Antona, Gabriele, 19..-, Ferrero, Alessandro, 19..- (Auteur)
Format: Livre numérique
Langue:Anglais
Publié: New York, NY : Springer US 2006.
Cham : Springer Nature
Collection:Information Technology: Transmission, Processing and Storage
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Accès Université d'Orléans
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Note: 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
Description
Résumé: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.
Description:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9780387286662
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Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. chttps://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017