9781107124387 - Signal Processing and Networking for Big Data Applications de Han, Zhu; Hong, Mingyi; Wang, Dan (13 resultados)

hardcover. Condición: Good. Our good condition books are generally good for reading but not for gifting or collecting. They could have imperfections such as creasing, fanning, inscriptions, margin notes, yellowing, staining on edge or cover or pages, bumps, scuffs, etc etc (sometimes multiple of these). It's a wide category that encompasses anything that isn't almost-new down to anything that is slightly better than poor. We would NOT recommend gifting Good books - these should be considered reading copies. Our books are dispatched from a Yorkshire former cotton mill. We list via barcode/ISBN so please note that the images are stock images and may not be the exact copy you receive, furthermore the details about edition and year might not be accurate as many publishers reuse the same ISBN for multiple editions and as we simply scan a barcode or enter an ISBN we do not check the validity of the edition data when listing. If you're looking for an exact edition please don't order (at least not without checking with us first, although we don't always have time to check). We aim to dispatch prompty, the service used will depend on order value and book size. We can ship to most countries, see our shipping policies. Payment is via Abe only.

Hardcover. Condición: Like New. First Edition. Firm and square with strong joints, just showing a few very minor rubs and bumps. Hence a non-text page is stamped 'damaged'. Despite such this book is actually in nearly new condition. Thus it looks and feels unread with contents that are crisp, fresh and tight. Size: 250mm x 180mm. Pages: xvii, 362. Fully indexed. This unique text makes 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 describes the techniques used for analysis, design and optimization. Readers will learn 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.

Hardcover. Condición: new. New Copy. Customer Service Guaranteed.

Hardcover. Condición: New. New. book.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Hardcover. Condición: new. Hardcover. 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. This unique text helps make sense of big data in engineering applications using tools and techniques from signal processing. Covering fundamental signal processing theories, software implementations, and techniques for analysis, design, and optimization, it is ideal for researchers, practitioners, and students in signal processing and communications networks. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condición: Brand New. 362 pages. 10.25x7.25x0.75 inches. In Stock.

Hardcover. Condición: new. Hardcover. 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. This unique text helps make sense of big data in engineering applications using tools and techniques from signal processing. Covering fundamental signal processing theories, software implementations, and techniques for analysis, design, and optimization, it is ideal for researchers, practitioners, and students in signal processing and communications networks. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardback. Condición: New. New copy - Usually dispatched within 4 working days.

Gebunden. Condición: New. This unique text helps make sense of big data in engineering applications using tools and techniques from signal processing. Covering fundamental signal processing theories, software implementations, and techniques for analysis, design, and optimization, it.

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

Hardcover. Condición: new. Hardcover. 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. This unique text helps make sense of big data in engineering applications using tools and techniques from signal processing. Covering fundamental signal processing theories, software implementations, and techniques for analysis, design, and optimization, it is ideal for researchers, practitioners, and students in signal processing and communications networks. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.