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Can I read Signal Processing And Networking For Big Data Applications on EtoBox?
Signal Processing And Networking For Big Data Applications by Zhu Han; Mingyi Hong; Dan Wang; Cambridge University Press is a nonfiction available to read on EtoBox.
What is Signal Processing And Networking For Big Data Applications about?
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.-- Provided by Publisher
Who reads Signal Processing And Networking For Big Data Applications?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Zhu Han; Mingyi Hong; Dan Wang; Cambridge University Press
- Publisher
- Cambridge, United Kingdom ; New York, NY, USA: Cambridge University Press
- Published
- 2017
- Language
- EN
- ISBN
- 9781107124387
- Category
- nonfiction
- Subjects
- Computer Science, Stem
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