Signal Processing and Networking for Big Data Applications Hardback
by Zhu (University of Houston) Han, Mingyi (Iowa State University) Hong, Dan (Hong Kong Polytechnic University) Wang
Hardback
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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.
Information
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Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:474 pages, 11 Tables, black and white; 20 Halftones, black and white; 71 Line drawings, black and wh
- Publisher:Cambridge University Press
- Publication Date:27/04/2017
- Category:
- ISBN:9781107124387
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:474 pages, 11 Tables, black and white; 20 Halftones, black and white; 71 Line drawings, black and wh
- Publisher:Cambridge University Press
- Publication Date:27/04/2017
- Category:
- ISBN:9781107124387