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Rapid BeagleBoard Prototyping with MATLAB and Simulink
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Index
Thisbookisafast-pacedguidewithpractical,hands-onrecipeswhichwillshowyouhowtoprototypeBeagleboard-basedaudio/videoapplicationsusingMatlab/SimlinkandSourceryCodebenchonaWindowshost.BeagleboardEmbeddedProjectsisgreatforstudentsandacademicresearcherswhohavepracticalideasandwhowanttobuildaproof-of-conceptsystemonanembeddedhardwareplatformquicklyandefficiently.Itisalsousefulforproductdesignengineerswhowanttoratifytheirapplicationsandreducethetime-to-market.ItisassumedthatyouarefamiliarwithMatlab/Simulinkandhavesomebasicknowledgeofcomputerhardware.ExperienceinLinuxisfavouredbutnotnecessary,asoursoftwaredevelopmentispurelyonaWindowshost.
目錄(66章)
倒序
- 封面
- 版權信息
- Credits
- About the Authors
- About the Reviewers
- www.PacktPub.com
- Preface
- Chapter 1. Introducing BeagleBoard
- A quick overview of this book
- BeagleBoard-xM
- BeagleBoard for rapid prototyping
- Summary
- Chapter 2. Installing Linux on the BeagleBoard
- Setting up the hardware
- Installing software and tools on a Windows 7 PC
- Installing Ubuntu for BeagleBoard on a Windows 7 PC
- Configuring BeagleBoard
- First interaction with the BeagleBoard
- Using Win32 Disk Imager to create multiple microSD cards
- Summary
- Chapter 3. C/C++ Development with Eclipse on Windows
- Windows-based cross-compiler
- Mac and Linux users
- Installing Eclipse IDE on Windows 7
- Build your first Hello World! program
- Summary
- Chapter 4. Automatic Code Generation
- MATLAB code generation
- Creating BeagleBoard applications in Eclipse
- Simulink code generation
- Summary
- Chapter 5. Digital I/O and Serial Communication
- IR sensor hardware
- Voltage shifting
- Interfacing sensors via digital I/O in Simulink
- Interfacing sensors via a serial port in C
- MATLAB-based algorithm integration
- Other things to try
- Summary
- Chapter 6. Voice Recognition
- Defining the voice recognition task
- Configuration of the voice recognition system
- Digital audio signals
- Handling audio in MATLAB/Simulink
- Frame-based signal processing in Simulink
- Structure of a voice recognition system
- Feature extraction
- Training session
- Recognition session
- Running the voice recognition application
- Performance optimization by parameter tuning
- Other things to try
- References
- Summary
- Chapter 7. Digital Video-Based Motion Detection
- Video input: Digital camera hardware connection
- Video acquisition: Software driver
- Motion detection algorithm
- Implementation algorithm in Simulink
- Parameter optimization
- Summary
- Appendix A. Wrapping Up
- A brief review of what we have learned
- Ideas for next-step projects
- Useful references and websites
- Index 更新時間：2021-07-23 15:48:45
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