Bibliograph

Signal processing and networking for big data applications, Zhu Han, Mingyi Hong, Dan Wang

Type

Label

Signal processing and networking for big data applications, Zhu Han, Mingyi Hong, Dan Wang

Language

eng

Bibliography note

Includes bibliographical references and index

Illustrations

illustrations

Index

index present

Literary Form

non fiction

Main title

Signal processing and networking for big data applications

Nature of contents

bibliography

Oclc number

962016725

Responsibility statement

Zhu Han, Mingyi Hong, Dan Wang

Summary

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

Contributor

Creator