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Book synopsis

This book presents essential perspectives on digital convolutions in wireless communications systems and illustrates their corresponding efficient real-time field-programmable gate array (FPGA) implementations. FPGAs or generic all programmable devices will soon become widespread, serving as the "brains" of all types of real-time smart signal processing systems, like smart networks, smart homes and smart cities. The book examines digital convolution by bringing together the following main elements: the fundamental theory behind the mathematical formulae together with corresponding physical phenomena; virtualized algorithm simulation together with benchmark real-time FPGA implementations; and detailed, state-of-the-art case studies on wireless applications, including popular linear convolution in digital front ends (DFEs); nonlinear convolution in digital pre-distortion (DPD) enabled high-efficiency wireless RF transceivers; and fast linear convolution in massive multiple-input multiple-output (MIMO) systems.After reading this book, students and professionals will be able to:· Understand digital convolution with inside-out information: discover what convolution is, why it is important and how it works.· Enhance their FPGA design skills, i.e., enhance their FPGA-related prototyping capability with model-based hands-on examples.· Rapidly expand their digital signal processing (DSP) blocks: to examine how to rapidly and efficiently create (DSP) functional blocks on a programmable FPGA chip as a reusable intellectual property (IP) core.· Upgrade their expertise as both "thinkers" and "doers": minimize/close the gap between mathematical equations and FPGA implementations for existing and emerging wireless applications.

Book details

Book category Books in English Technology, engineering, agriculture Other technologies & applied sciences Applied optics

• Full title: FPGA-based Digital Convolution for Wireless Applications
• Author: Lei Guan
• Language: English
• Binding: Hardback
• Number of pages: 151
• EAN: 9783319519999
• ISBN: 3319519999
• ID: 15560918
• Publisher: Springer International Publishing AG
• Weight: 3849 g
• Dimensions: 235 × 155 × 16 mm
• Date of publishing: 23. January 2017

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