£87.62

Springer Computing Platforms for Software-Defined Radio

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Description

Product Description This book addresses Software-Defined Radio (SDR) baseband processing from the computer architecture point of view, providing a detailed exploration of different computing platforms by classifying different approaches, highlighting the common features related to SDR requirements and by showing pros and cons of the proposed solutions.  It covers architectures exploiting parallelism by extending single-processor environment (such as VLIW, SIMD, TTA approaches), multi-core platforms distributing the computation to either a homogeneous array or a set of specialized heterogeneous processors, and architectures exploiting fine-grained, coarse-grained, or hybrid reconfigurability.  Review   Review   Review   From the Back Cover This book addresses Software-Defined Radio (SDR) baseband processing from the computer architecture point of view, providing a detailed exploration of different computing platforms by classifying different approaches, highlighting the common features related to SDR requirements and by showing pros and cons of the proposed solutions.  Coverage includes architectures exploiting parallelism by extending single-processor environment (such as VLIW, SIMD, TTA approaches), multi-core platforms distributing the computation to either a homogeneous array or a set of specialized heterogeneous processors, and architectures exploiting fine-grained, coarse-grained, or hybrid reconfigurability. Describes a computer engineering approach to SDR baseband processing hardware; Discusses implementation of numerous compute-intensive signal processing algorithms on single and multicore platforms; Enables deep understanding of optimization techniques related to power and energy consumption of multicore platforms using several basic and high-level performance indicators; Includes prototyping details of single and multicore platforms on ASICs and FPGAs. About the Author Dr. Waqar Hussain is currently a Senior Research Scientist at the Department of Electronics and Communications Engineering, Tampere University of Technology, Finland. He has been a Visiting Scientist at the Department of Computer Science, University of Chicago, IL, USA and also at the Chair for Integrated Signal Processing Systems, Rheinisch-Westfaelische Technische Hochschule (RWTH), Aachen, Germany. His research interests include design and development of homogeneous and heterogeneous multicore and manycore systems that are specialized for application specific, reconfigurable and general purpose processing. He is actively working on Accelerator-Rich Architectures and issues related to Communication Infrastructures e.g., Network-on-Chip in an effort to exploit the underutilized part of the chip known as Dark Silicon.  Dr. Waqar Hussain has a doctorate degree in Electronics Engineering from Tampere University of Technology, Finland.     Jari Nurmi is a professor at the Department of Electronics and Communications Engineering in Tampere University of Technology (TUT). He has held various research, education and management positions at TUT and in the industry since 1987. He got a D.Sc.(Tech) degree from TUT in 1994. His current research interests include System-on-Chip integration, on-chip communication, embedded and application-specific processor architectures, and circuit and system design and implementation for digital communication, positioning and DSP. He is leading a group of about 15 researchers and research associates at TUT.     Jouni Isoaho is a Professor in the Department of Applied Physics, Laboratory of Electronics and Information Technology at the University of Turku, Finland.  His research focuses on Low power system design for DSP and telecom systems, VLSI system design methodologies, and Innovative radio architectures and design methodologies.    Fabio Garzia received his MSc degree in Electronics Engineer in March 2005 from the University of Bologna, Italy. Afte

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
13 July 2018
Listed Since
16 July 2018

Barcode

No barcode data available

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