Handbook of Signal Processing Systems

Handbook of Signal Processing Systems is organized in four 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; and the fourth part describes models of computation and their associated design tools and methodologies.

This handbook, organized into four parts, provides the reader with a comprehensive and standalone overview of signal processing systems. It contains a comprehensive index for ease of use, and an extensive bibliography for further reading.

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.