Signal Processing and Networking for Big Data Applications
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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.
Format:Hardcover
Language:English
ISBN:1107124387
ISBN13:9781107124387
Release Date:May 2017
Publisher:Cambridge University Press
Length:474 Pages
Weight:1.96 lbs.
Dimensions:0.8" x 7.0" x 10.1"
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