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...
Corporate Author: | |
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Other Authors: | , , , |
Format: | Electronic |
Language: | English |
Published: |
New York, NY :
Springer New York : Imprint: Springer,
2013.
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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.