舉報 
會員
Rapid BeagleBoard Prototyping with MATLAB and Simulink
最新章節：
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
推薦閱讀
- Learning SQL Server Reporting Services 2012
- 新媒體跨界交互設計
- Cortex-M3 + μC/OS-II嵌入式系統開發入門與應用
- 辦公通信設備維修
- 電腦高級維修及故障排除實戰
- Source SDK Game Development Essentials
- 圖解計算機組裝與維護
- 微服務實戰（Dubbox +Spring Boot+Docker）
- 筆記本電腦維修技能實訓
- The Deep Learning with PyTorch Workshop
- 電腦主板維修技術
- 主板維修實踐技術
- 計算機組裝與維護
- CPU設計實戰：LoongArch版
- INSTANT Website Optimization for Retina Displays How-to
- Hands-On Python Deep Learning for the Web
- R Graphs Cookbook Second Edition
- 打印機維修不是事兒（第2版）
- Getting started with IntelliJ IDEA
- Premiere視頻制作入門與實戰
- Arduino實戰手冊：25個精選實例帶你輕松入門（彩色圖解版）
- The Unsupervised Learning Workshop
- 基于C語言與Proteus聯合仿真的單片機技術
- 數碼辦公設備檢修技能零基礎成長
- User Experience Mapping
- CXL體系結構：高速互連的原理解析與實踐
- 全圖解電腦組裝與維修實用大全（視頻教程版、Windows 10適用）
- Python GUI Programming Cookbook
- 零起步輕松學PLC技術（第2版）
- 設計模式就該這樣學：基于經典框架源碼和真實業務場景
