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.

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 provides: A comprehensive overview of signal processing systems Standalone, complete reference to signal processing systems A comprehensive index for ease of use An extensive bibliography for further reading This handbook is essential for those involved in R&D in the design, architecture, and implementation of a wide array of signal processing systems. This handbook is also suitable as a first point of entry to the field for undergraduate and post-graduate students in engineering, computer sciences, and system engineering.