Handbook of Signal Processing Systems

Shuvra S. Bhattacharyya is a Professor in the Department of Electrical and Computer Engineering University of Maryland at College Park. He holds a joint appointment in the University of Maryland Institute for Advanced Computer Studies (UMIACS. Dr. Bhattacharyya is coauthor or coeditor of five books and the author or coauthor of more than 150 refereed technical articles. Dr. Bhattacharyya is director of the Maryland DSPCAD Research Group. He serves as associate editor for the EURASIP Journal on Embedded Systems, International Journal of Embedded Systems, and Journal of Signal Processing Systems. Dr. Bhattacharyya has served as Chair of the IEEE Signal Processing Society Technical Committee on Design and Implementation of Signal Processing Systems (2008-2009). Dr. Bhattacharyya has been a Nokia Distinguished Lecturer (Finland, 2006) and Fulbright Senior Specialist (Germany, 2005 and Austria, 2009). He has received the NSF Career Award (1998). He has received Best Paper Awards at the International Workshop on Systems, Architectures, Modeling, and Simulation (2008); and IEEE Workshop on Signal Processing Systems (2007).

It gives me immense pleasure to introduce this timely handbook to the research/- velopment communities in the ?eld of signal processing systems (SPS). This is the ?rst of its kind and represents state-of-the-arts coverage of research in this ?eld. The driving force behind information technologies (IT) hinges critically upon the major advances in both component integration and system integration. The major breakthrough for the former is undoubtedly the invention of IC in the 50's by Jack S. Kilby, the Nobel Prize Laureate in Physics 2000. In an integrated circuit, all components were made of the same semiconductor material. Beginning with the pocket calculator in 1964, there have been many increasingly complex applications followed. In fact, processing gates and memory storage on a chip have since then grown at an exponential rate, following Moore's Law. (Moore himself admitted that Moore's Law had turned out to be more accurate, longer lasting and deeper in impact than he ever imagined. ) With greater device integration, various signal processing systems have been realized for many killer IT applications. Further breakthroughs in computer sciences and Internet technologies have also catalyzed large-scale system integration. All these have led to today's IT revolution which has profound impacts on our lifestyle and overall prospect of humanity. (It is hard to imagine life today without mobiles or Internets!) The success of SPS requires a well-concerted integrated approach from mul- ple disciplines, such as device, design, and application.

A comprehensive overview of signal processing systems

Applications Managing Editor: Shuvra Bhattacharyya.- Signal Processing for Control.- Digital Signal Processing in Home Entertainment.- MPEG Reconfigurable Video Coding.- Signal Processing for High-Speed Links.- Video Compression.- Low-power Wireless Sensor Network Platforms.- Signal Processing for Cryptography and Security Applications.- High-Energy Physics.- Medical Image Processing.- Signal Processing for Audio HCI.- Distributed Smart Cameras and Distributed Computer Vision.- Architectures Managing Editor: Jarmo Takala.- Arithmetic.- Application-Specific Accelerators for Communications.- FPGA-based DSP.- General-Purpose DSP Processors.- Application Specific Instruction Set DSP Processors.- Coarse-Grained Reconfigurable Array Architectures.- Multi-core Systems on Chip.- DSP Systems using Three-Dimensional (3D) Integration Technology.- Mixed Signal Techniques.- Programming and Simulation Tools Managing Editor: Rainer Leupers.- C Compilers and Code Optimization for DSPs.- Compiling for VLIW DSPs.- Software Compilation Techniques for MPSoCs.- DSP Instruction Set Simulation.- Optimization of Number Representations.- Intermediate Representations for Simulation and Implementation.- Embedded C for Digital Signal Processing.- Design Methods Managing Editor: Ed Deprettere.- Signal Flow Graphs and Data Flow Graphs.- Systolic Arrays.- Decidable Signal Processing Dataflow Graphs: Synchronous and Cyclo-Static Dataflow Graphs.- Mapping Decidable Signal Processing Graphs into FPGA Implementations.- Dynamic and Multidimensional Dataflow Graphs.- Polyhedral Process Networks.- Kahn Process Networks and a Reactive Extension.- Methods and Tools for Mapping Process Networks onto Multi-Processor Systems-On-Chip.- Integrated Modeling using Finite State Machines and Dataflow Graphs.