Bhattacharyya S.S., Deprettere E.F., Leupers R., Takala J. (eds.) Handbook of Signal Processing Systems

Second edition.— Springer, 2013. — 1395 p. — ISBN10: 1461468582, ISBN13: 978-
1461468585. (first edition /file/851377/).In this edition of the Handbook of Signal Processing Systems, many of the chapters from the first edition have been updated and several new chapters have been added. The new contributions include chapters on inertial sensors, real-time stream mining, stereoscopic and multiview 3D displays, wireless transceivers, radio astronomy, stereo vision, particle filtering architectures, and multidimensional dataflow graphs.
We hope that this updated edition of the handbook will continue to serve as a useful reference to engineering practitioners, graduate students, and researchers working in the broad area of signal processing systems. Selected chapters from the book can be used as core readings for seminar- or project-oriented graduate courses in signal processing systems. Given the wide range of topics covered in the book, instructors have significant flexibility to orient such a course towards particular themes or levels of abstraction that they would like to emphasize.
This new edition of the handbook is organized in three parts, where, due to their close relationship, the third and fourth parts from the first edition have been integrated into a single part (Part ). Part I of the second edition motivates representative applications that drive and apply state-of-the-art methods for design and implementation of signal processing systems; Part II discusses architectures for implementing these applications; and Part focuses on compilers, as well as models of computation and their associated design tools and methodologies. In each part, chapters are ordered alphabetically based on the last name of the first author.Applications.Signal Processing for Stereoscopic and Multi-View 3D Displays.
Video Compression.
Inertial Sensors and Their Applications.
Finding It Now: Construction and Configuration of Networked Classifiers in Real-Time StreamMining Systems.
High-Energy Physics.
Signal Processing forWireless 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-PowerWireless Sensor Network Platforms.
Signal Processing Tools for Radio Astronomy.
Distributed Smart Cameras and Distributed Computer Vision.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.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 StateMachines and Dataflow Graphs.
C Compilers and Code Optimization for DSPs.
Kahn Process Networks and a Reactive Extension.
Decidable Dataflow Models for Signal Processing: Synchronous Dataflow and Its Extensions.
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.