Published by Apple Academic Press, 2022
ISBN 10: 1774637308 ISBN 13: 9781774637302
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Published by Apple Academic Press, 2022
ISBN 10: 1774637308 ISBN 13: 9781774637302
Language: English
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Published by Apple Academic Press, 2022
ISBN 10: 1774637308 ISBN 13: 9781774637302
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Published by Apple Academic Press, 2022
ISBN 10: 1774637308 ISBN 13: 9781774637302
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Published by Apple Academic Press, 2022
ISBN 10: 1774637308 ISBN 13: 9781774637302
Language: English
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Published by Apple Academic Press, 2022
ISBN 10: 1774637308 ISBN 13: 9781774637302
Language: English
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Published by Apple Academic Press, 2022
ISBN 10: 1774637308 ISBN 13: 9781774637302
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Published by Apple Academic Press, 2022
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Published by Apple Academic Press, 2022
ISBN 10: 1774637308 ISBN 13: 9781774637302
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Published by Apple Academic Pr Inc, 2022
ISBN 10: 1774637308 ISBN 13: 9781774637302
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Published by Apple Academic Press, 2022
ISBN 10: 1774637308 ISBN 13: 9781774637302
Language: English
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Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Durgesh Nandan, PhD, is a Research Mentor and Account Manager at Accendere Knowledge Management Services Pvt. Ltd. He formerly served as Head of the Department of Electronics and Communication Engineering, IASSCOM Fortune Institutes of T.
Published by Apple Academic Press Inc., 2022
ISBN 10: 1774637308 ISBN 13: 9781774637302
Language: English
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Published by Apple Academic Press, 2022
ISBN 10: 1774637308 ISBN 13: 9781774637302
Language: English
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Published by Apple Academic Pr Inc, 2022
ISBN 10: 1774637308 ISBN 13: 9781774637302
Language: English
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Hardcover. Condition: Brand New. 320 pages. 9.19x6.13x0.96 inches. In Stock. This item is printed on demand.
Published by Apple Academic Press Inc., 2022
ISBN 10: 1774637308 ISBN 13: 9781774637302
Language: English
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Published by Apple Academic Press, 2022
ISBN 10: 1774637308 ISBN 13: 9781774637302
Language: English
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Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Introduces VLSI (very-large-scale integration) architecture for DSP filters, speech filters, and image filters, detailing the key uses and aspects and technologies used in VLSI design, models and architectures, and more. It explores the major challenges in developing real-time hardware architecture designs that are compact and accurate.