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Rapid Beagleboard Prototyping with MATLAB/Simulink电子书

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12人正在读 | 0人评论 6.2

作       者:Dr. Xuewu Dai

出  版  社:Packt Publishing

出版时间:2013-10-25

字       数:64.7万

所属分类: 进口书 > 外文原版书 > 电脑/网络

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This book is a fast-paced guide with practical, hands-on recipes which will show you how to prototype Beagleboard-based audio/video applications using Matlab/Simlink and Sourcery Codebench on a Windows host.Beagleboard Embedded Projects is great for students and academic researchers who have practical ideas and who want to build a proof-of-concept system on an embedded hardware platform quickly and efficiently. It is also useful for product design engineers who want to ratify their applications and reduce the time-to-market. It is assumed that you are familiar with Matlab/Simulink and have some basic knowledge of computer hardware. Experience in Linux is favoured but not necessary, as our software development is purely on a Windows host.
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Rapid BeagleBoard Prototyping with MATLAB and Simulink

Table of Contents

Rapid BeagleBoard Prototyping with MATLAB and Simulink

Credits

About the Authors

About the Reviewers

www.PacktPub.com

Support files, eBooks, discount offers and more

Why Subscribe?

Free Access for Packt account holders

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Downloading the example code

Errata

Piracy

Questions

1. Introducing BeagleBoard

A quick overview of this book

BeagleBoard-xM

BeagleBoard for rapid prototyping

Summary

2. Installing Linux on the BeagleBoard

Setting up the hardware

Compulsory hardware

Required hardware for rapid prototyping in this book

Connecting our components

Installing software and tools on a Windows 7 PC

Target and host PC systems

Finding the COM port for a RS232-USB adapter cable

Configuring the IP address of the host PC

Installing MATLAB and the BeagleBoard support package

What are MATLAB and Simulink

Why we use MATLAB/Simulink for rapid prototyping

Installing MATLAB

Installing the built-in BeagleBoard support package

Installing Ubuntu for BeagleBoard on a Windows 7 PC

Configuring BeagleBoard

First interaction with the BeagleBoard

Installing PuTTY on a Windows PC

Logging into BeagleBoard from a Windows PC

Logging in via a serial-USB connection

Using Win32 Disk Imager to create multiple microSD cards

Summary

3. C/C++ Development with Eclipse on Windows

Windows-based cross-compiler

Installing Sourcery CodeBench Lite in Windows

Verifying the installation

Verifying the compiler

Mac and Linux users

Installing Eclipse IDE on Windows 7

Installing the GNU ARM Eclipse plugin

Installing Remote System Explorer (RSE)

Connecting to a BeagleBoard in RSE

Build your first Hello World! program

Creating your first project in Eclipse

Configuring the cross-compiler and the C/C++ build

Compiling our application

Transferring program files to a BeagleBoard

Running programs on the BeagleBoard

Running and debugging remotely with Eclipse

Summary

4. Automatic Code Generation

MATLAB code generation

MATLAB and m-language

Code generation workflow in MATLAB

Selecting a compiler for MATLAB Coder

C/C++ code generation with MATLAB Coder

Creating BeagleBoard applications in Eclipse

Creating an Eclipse project for BeagleBoard applications

Running the executable at the BeagleBoard

Simulink code generation

A Simulink model of a music player

Building the Simulink model

Writing a Simulink device driver block for a BeagleBoard

Configuring the model to run on a BeagleBoard

Running the music player on the BeagleBoard

Playing music without Simulink

Tuning model parameters on the fly

Tuning model parameters through GUIs

Other things to try

Summary

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

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

Voice acquisition and segmentation

Vector Quantization (VQ) training

Recognition session

Running the voice recognition application

Performance optimization by parameter tuning

Other things to try

References

Summary

7. Digital Video-Based Motion Detection

Video input: Digital camera hardware connection

Video acquisition: Software driver

Motion detection algorithm

Implementation algorithm in Simulink

Grayscale image

Image enhancement

Detection of the moving area

Parameter optimization

Summary

A. Wrapping Up

A brief review of what we have learned

Ideas for next-step projects

Expanding the IR motion detector to include verbal alarms

Voice-controlled light switch

Voice biometric authentication systems

2D Ball tracking

Gesture-controlled devices

Useful references and websites

Index

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