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...

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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: Boston, MA : Springer US, 2010.
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4419-6345-1
Table of Contents:
  • Part I Applications
  • 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
  • Part II Architectures
  • 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
  • Part III Programming and Simulation Tools
  • C Compilers and Code Optimization for DSPs
  • Compiling for VLIW DSPs
  • Software Compilation Techniques for MPSoCs
  • DSP Instruction Set Simulation
  • Intermediate Representations for Simulation and Implementation
  • Embedded C for Digital Signal Processing
  • Part IV Design Methods
  • Signal Flow Graphs and Data Flow Graphs
  • Decidable Signal Processing Dataflow Graphs: Synchronous and Cycle-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
  • Index.