About the book
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.
Editions of Signal Processing and Networking for Big Data Applications
- Hardcover
- ISBN 9781107124387
Read an Excerpt
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.
Frequently Asked Questions
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.
What core themes, tropes, or subjects are explored in Signal Processing and Networking for Big Data Applications?
Technology, Engineering, Agriculture, Industrial processes > Electronics and communications engineering > Communications engineering / telecommunications
Where can I read a sample of Signal Processing and Networking for Big Data Applications?
You can read an official preview of the few pages here https://www.book2look.com/book/9781107124387
Who is/are the Author/s of the book Signal Processing and Networking for Big Data Applications?
Zhu Han,Mingyi Hong,Dan Wang
What are the ISBN numbers for the physical and digital editions?
Signal Processing and Networking for Big Data Applications is available as hardcover(ISBN 9781107124387)