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Published by Engineering Science Reference, 2016
ISBN 10: 1522502998 ISBN 13: 9781522502999
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Language: English
Published by Engineering Science Reference, 2016
ISBN 10: 1522502998 ISBN 13: 9781522502999
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Published by Engineering Science Reference, 2016
ISBN 10: 1522502998 ISBN 13: 9781522502999
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Published by Engineering Science Reference, 2016
ISBN 10: 1522502998 ISBN 13: 9781522502999
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Published by Engineering Science Reference, 2016
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Published by Engineering Science Reference, 2016
ISBN 10: 1522502998 ISBN 13: 9781522502999
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents experimental and theoretical research on Field-Programmable Gate Array-based design and the development of virtual scientific instrumentation that can be used across a variety of research fields. This volume focuses on crucial innovations and algor.
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Published by Engineering Science Reference, 2016
ISBN 10: 1522502998 ISBN 13: 9781522502999
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Buch. Condition: Neu. Field-Programmable Gate Array (FPGA) Technologies for High Performance Instrumentation | Julio Daniel Dondo Gazzano (u. a.) | Buch | Gebunden | Englisch | 2016 | Engineering Science Reference | EAN 9781522502999 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Published by Engineering Science Reference, 2016
ISBN 10: 1522502998 ISBN 13: 9781522502999
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Field-Programmable Gate Array (FPGA) technologies have increased in popularity in recent years due to their adaptability and high computing potential. Further research in this area illustrates the potential for further advancements and applications of this useful technology. Field-Programmable Gate Array (FPGA) Technologies for High Performance Instrumentation presents experimental and theoretical research on FPGA-based design and the development of virtual scientific instrumentation that can be used by a broad segment of scientists across a variety of research fields. Focusing on crucial innovations and algorithms for signal processing, data acquisition mechanisms, FPGA-based hardware design, and parallel computing, this publication is a critical resource for researchers, development engineers, and graduate-level students.