Zhu Han, Mingyi Hong, Dan Wang

Signal Processing and Networking for Big Data Applications

• Gebundenes Buch

Produktbeschreibung

This unique text helps make sense of big data using signal processing techniques, in applications including machine learning, networking, and energy systems.

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 474
• Erscheinungstermin: 19. Mai 2017
• Englisch
• Abmessung: 256mm x 179mm x 22mm
• Gewicht: 904g
• ISBN-13: 9781107124387
• ISBN-10: 1107124387
• Artikelnr.: 47376625

Autorenporträt

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 Bäer and Are Hjørungnes, Cambridge, 2011).

Inhaltsangabe

Part I. Overview of Big Data Applications: 1. Introduction
2. Data parallelism: the supporting architecture
Part II. Methodology and Mathematical Background: 3. First order methods
4. Sparse optimization
5. Sublinear algorithms
6. Tensor for big data
7. Deep learning and applications
Part III. Big Data Applications: 8. Compressive sensing based big data analysis
9. Distributed large-scale optimization
10. Optimization of finite sums
11. Big data optimization for communication networks
12. Big data optimization for smart grid systems
13. Processing large data set in MapReduce
14. Massive data collection using wireless sensor networks.