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.

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.