Description
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 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. Applications discussed in detail include wireless networking, smart grid systems, and sensor networks and cloud computing. This is the ideal text for researchers and practising engineers wanting to solve practical problems involving large amounts of data, and for students looking to grasp the fundamentals of big data analytics.
This unique text helps make sense of big data using signal processing techniques, in applications including machine learning, networking, and energy systems.
About the Author
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 Baser and Are Hjorungnes, 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).
Reviews
'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
Book Information
ISBN 9781107124387
Author Zhu Han
Format Hardback
Page Count 474
Imprint Cambridge University Press
Publisher Cambridge University Press
Weight(grams) 890g
Dimensions(mm) 253mm * 179mm * 22mm
This unique text helps make sense of big data using signal processing techniques, in applications including machine learning, networking, and energy systems.
About the Author
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 Baser and Are Hjorungnes, 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).
Reviews
'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
Book Information
ISBN 9781107124387
Author Zhu Han
Format Hardback
Page Count 474
Imprint Cambridge University Press
Publisher Cambridge University Press
Weight(grams) 890g
Dimensions(mm) 253mm * 179mm * 22mm
