Handbook of Signal Processing Systems

Handbook of Signal Processing Systems is organized in three parts. The first part motivates representative applications that drive and apply state-of-the art methods for design and implementation of signal processing systems; the second part discusses architectures for implementing these applications; the third part focuses on compilers and simulation tools, describes models of computation and their associated design tools and methodologies.

This handbook is an essential tool for professionals in many fields and researchers of all levels.
1136505974
Handbook of Signal Processing Systems

Handbook of Signal Processing Systems is organized in three parts. The first part motivates representative applications that drive and apply state-of-the art methods for design and implementation of signal processing systems; the second part discusses architectures for implementing these applications; the third part focuses on compilers and simulation tools, describes models of computation and their associated design tools and methodologies.

This handbook is an essential tool for professionals in many fields and researchers of all levels.
269.0 In Stock

eBook2nd ed. 2013 (2nd ed. 2013)

$269.00 

Available on Compatible NOOK devices, the free NOOK App and in My Digital Library.
WANT A NOOK?  Explore Now

Related collections and offers


Overview

Handbook of Signal Processing Systems is organized in three parts. The first part motivates representative applications that drive and apply state-of-the art methods for design and implementation of signal processing systems; the second part discusses architectures for implementing these applications; the third part focuses on compilers and simulation tools, describes models of computation and their associated design tools and methodologies.

This handbook is an essential tool for professionals in many fields and researchers of all levels.

Product Details

ISBN-13: 9781461468592
Publisher: Springer-Verlag New York, LLC
Publication date: 06/20/2013
Sold by: Barnes & Noble
Format: eBook
Pages: 1399
File size: 17 MB
Note: This product may take a few minutes to download.

About the Author

Shuvra S. Bhattacharyya is a Professor in the Department of Electrical and Computer Engineering at the University of Maryland, College Park. He holds a joint appointment in the University of Maryland Institute for Advanced Computer Studies (UMIACS). From January 2015 through December 2018, he is also a part-time visiting professor in the Department of Pervasive Computing at the Tampere University of Technology, Finland, as part of the Finland Distinguished Professor Programme (FiDiPro). His research interests include signal processing, embedded systems, electronic design automation, wireless communication, and wireless sensor networks. He received the B.S. degree from the University of Wisconsin at Madison, and the Ph.D. degree from the University of California at Berkeley. He has held industrial positions as a Researcher at the Hitachi America Semiconductor Research Laboratory (San Jose, California), and Compiler Developer at Kuck & Associates (Champaign, Illinois). He has held a visiting research position at the US Air Force Research Laboratory (Rome, New York). He has been a Nokia Distinguished Lecturer (Finland) and Fulbright Specialist (Austria and Germany). He has received the NSF Career Award (USA). He is a Fellow of the IEEE.

Ed F. Deprettere received the M.Sc degree in Electrical Engineering from Ghent University (Belgium) in 1968, and the Ph.D. degree in Electrical Engineering from Delft University of Technology (The Netherlands) in 1980. At Delft he has held visiting research positions at Stanford University, University of California at Los Angeles, and Philips Research. In 2000 he joined Leiden University as full professor in the Leiden Institute of Advanced Computer Science, where he has been head of the Leiden Embedded Research Center. While in Leiden, he held visiting professor positions at the Indian Institute of Science (Bangalore, India), and the Technical University of Sofia (Bulgaria). He was founder of the Daedalus foundation which was to coordinate the co-operation with Sofia. Ed F. Deprettere is now emeritus professor since 2012.

Rainer Leupers received the M.Sc. (Dipl.-Inform.) and Ph.D. (Dr. rer. nat.) degrees in Computer Science with honors from TU Dortmund in 1992 and 1997. From 1997-2001 he was the chief engineer at the Embedded Systems chair at TUDortmund. In 2002, Dr. Leupers joined RWTH Aachen University as a professor for Software for Systems on Silicon. Since then, he has also been a visiting faculty member at the ALARI Institute in Lugano. His research and teaching activities comprise software development tools, processor architectures, and system-level electronic design automation, with focus on application-specific multicore systems. He published numerous books and technical papers, and heserved in committees of leading international conferences, including DAC, DATE, and ICCAD. He was a co-chair of the MPSoC Forum and SCOPES. Dr. Leupers received several scientific awards, including Best Paper Awards at DATE 2000, 2008 and DAC 2002, as well as multiple industry awards. He holds several patents on processor design automation technologies and has been a co-founder of LISATek (now with Synopsys), Silexica, and Secure Elements. He has served as consultant for various companies, as an expert for the European Commission, and in the management boards of large-scale projects like UMIC, HiPEAC, Eurolab4HPC, and ARTIST. He is the coordinator of EU projects TETRACOM and TETRAMAX on academia-industry technology transfer.

Jarmo Takala received his M.Sc. (hons) degree in Electrical Engineering and Dr.Tech. degree in Information Technology from Tampere University of Technology, Tampere, Finland (TUT) in 1987 and 1999, respectively. He has held industrial positions as a Research Scientist at VTT-Automation, Tampere, Finland, and a Senior Research Engineer at Nokia Research Center. Since 2000, he has been Professor in Computer Engineering at TUT and held various positions as Head of Department of Computer Engineering, Dean of Faculty of Computing and Electrical Engineering, and currently Vice President. Dr. Takala is a senior member of IEEE and has acted as the Chair of IEEE Signal Processing Society's Design and Implementation of Signal Processing Systems Technical Committee.

Table of Contents

Part I: Applications.- Signal Processing for Stereoscopic and Multiview 3D Displays.- Video Compression.- Inertial Sensors and their Applications.- Finding it Now: Construction and Configuration of Networked Classifiers in Real-Time Stream Mining Systems.- High-Energy Physics.- Signal Processing for Wireless Transceivers.- Signal Processing for Cryptography and Security Applications.- Digital Signal Processing in Home Entertainment.- Signal Processing for Control.- MPEG Reconfigurable Video Coding.- Signal Processing for High-Speed Links.- Medical Image Processing.- Low-power Wireless Sensor Network Platforms.- Signal Processing Tools for Radio Astronomy.- Distributed Smart Cameras and Distributed Computer Vision.- Part II: Architectures.- Architectures for Stereo Vision.- Multicore Systems on Chip.- Coarse-Grained Reconfigurable Array Architectures.- Arithmetic.- Architectures for Particle Filtering.- Application Specific Instruction Set DSP Processors.- FPGA-Based DSP.- Application Specific Accelerators for Communications.- General-Purpose DSP Processors.- Mixed Signal Techniques.- DSP Systems using Three-Dimensional Integration Technology.- Part III: Design Methods and Tools.- Methods and Tools for Mapping Process Networks onto Multi-Processor Systems-On-Chip.- Dynamic Dataflow Graphs.- DSP Instruction Set Simulation.- Integrated Modeling using Finite State Machines and Dataflow Graphs.- C Compilers and Code Optimization.- Kahn Process Networks and a Reactive Extension.- Decidable Dataflow Models for Signal Processing.- Systolic Arrays.- Multidimensional Dataflow Graphs.- Compiling for VLIW DSPs.- Software Compilation Techniques for MPSoCs.- Embedded C for Digital Signal Processing.- Signal Flow Graphs and Data Flow Graphs.- Optimization of Number Representations.- Polyhedral Process Networks.- Mapping Decidable Signal Processing Graphs into FPGA Implementations.
From the B&N Reads Blog

Customer Reviews