Signal Processing and Networking for Big Data Applications
$418.68
- Hardcover
474 pages
- Release Date
27 April 2017
Summary
Unleashing Insights: Signal Processing and Networking for Big Data
This unique text helps make 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 challenges, and describes the techniques used for analysis, design and optimization.
Readers will learn about key theoretical issues such as data modelling and representa…
Book Details
| ISBN-13: | 9781107124387 |
|---|---|
| ISBN-10: | 1107124387 |
| Author: | Zhu Han, Mingyi Hong, Dan Wang |
| Publisher: | Cambridge University Press |
| Imprint: | Cambridge University Press |
| Format: | Hardcover |
| Number of Pages: | 474 |
| Release Date: | 27 April 2017 |
| Weight: | 890g |
| Dimensions: | 253mm x 179mm x 22mm |
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What They're Saying
Critics Review
‘A very nice balanced treatment over two large-scale signal processing aspects: mathematical backgrounds versus big data applications, with a strong flavor of distributed optimization and computation.’ Shuguang Cui, University of California, Davis
About The Author
Zhu Han
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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