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 application...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Bhattacharyya, Shuvra S. (Editor), Deprettere, Ed F. (Editor), Leupers, Rainer. (Editor), Takala, Jarmo. (Editor)
Format: Electronic
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2013.
Edition:2nd ed. 2013.
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4614-6859-2
Table of Contents:
  • 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.