Signal Processing and Networking for Big Data Applications by Zhu Han

Signal Processing and Networking for Big Data Applications

byZhu Han, Mingyi Hong, Dan Wang

Kobo ebook | April 27, 2017

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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.

Title:Signal Processing and Networking for Big Data ApplicationsFormat:Kobo ebookPublished:April 27, 2017Publisher:Cambridge University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:1108155499

ISBN - 13:9781108155496

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