Inhaltsangabe
This unique text helps make sense of big data using signal processing techniques, in applications including machine learning, networking, and energy systems.
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Über die Autorinnen und Autoren
Zhu Han is a Professor in the Department of Electrical and Computer Engineering, University of Houston, and a Fellow of the Institute of Electrical and Electronics Engineers (IEEE). He has co-authored several books, including Wireless Device-to-Device Communications and Networks (with Lingyang Song, Dusit Niyato and Ekram Hossain, Cambridge, 2015) and Game Theory in Wireless and Communication Networks (with Dusit Niyato, Walid Saad, Tamer Başer and Are Hjørungnes, Cambridge, 2011).
Mingyi Hong is an Assistant Professor and a Black and Veatch Faculty Fellow in the Department of Industrial and Manufacturing Systems Engineering, Iowa State University.
Dan Wang is an Associate Professor in the Department of Computing, Hong Kong Polytechnic University, and a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE).
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Suchergebnisse für Signal Processing and Networking for Big Data Applications
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Signal Processing and Networking for Big Data Applications
Verlag:
Cambridge University Press, 2017
ISBN 10: 1107124387
ISBN 13: 9781107124387
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Signal Processing and Networking for Big Data Applications
Verlag:
Cambridge University Press, 2017
ISBN 10: 1107124387
ISBN 13: 9781107124387
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Hardcover. Zustand: Like New. First Edition. Firm and square with strong joints, just showing a few very minor rubs and bumps. Hence a non-text page is stamped 'damaged'. Despite such this book is actually in nearly new condition. Thus it looks and feels unread with contents that are crisp, fresh and tight. Size: 250mm x 180mm. Pages: xvii, 362. Fully indexed. This unique text makes sense of big data in engineering applications using tools and techniques from signal processing. It presents fundamental signal processing theories and software implementations, reviews current research trends, and describes the techniques used for analysis, design and optimization. Readers will learn key theoretical issues such as data modelling and representation, scalable and low-complexity information processing and optimization, tensor and sublinear algorithms, and deep learning and software architecture, and their application to a wide range of engineering scenarios. Artikel-Nr. 118281
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Signal Processing and Networking for Big Data Applications
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Signal Processing and Networking for Big Data Applications
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Hardcover. Zustand: Brand New. 362 pages. 10.25x7.25x0.75 inches. In Stock. Artikel-Nr. __1107124387
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