Rapid BeagleBoard prototyping with MATLAB and Simulink / Xuewu Dai, Fei Qin.

Format:

Book

Author/Creator:

Dai, Xuewu.

Contributor:

Qin, Fei.

Series:

Community Experience Distilled

Language:

English

Subjects (All):

MATLAB.

SIMULINK.

Rapid prototyping.

Physical Description:

1 online resource (152 p.)

Edition:

1st ed.

Place of Publication:

Birmingham : Packt Publishing, 2013.

Language Note:

English

System Details:

Mode of access: World Wide Web.

Summary:

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.

Contents:

Cover

Copyright

Credits

About the Authors

About the Reviewers

www.PacktPub.com

Table of Contents

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

Compulsory hardware

Required hardware for rapid prototyping in this book

Connecting our components

Installing software and tools on a Windows 7 PC

Target system and host PC system

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 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 via a serial-USB connection

Using Win32DiskImager to create multiple micro SD cards

Chapter 3: C/C++ Development with Eclipse on Windows

Windows-based cross-complier

Installing Sourcery CodeBench Lite in Windows

Verify the installation

Verify 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

Chapter 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 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

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

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

Voice acquisition and segmentation

Vector Quantization (VQ) training

Recognition session

Running the voice recognition application

Performance optimization by parameter tuning

References

Chapter 7: Digital Video-Based Motion Detector

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

Appendix: 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 device

Useful references and websites

Index.

Notes:

Includes index.

Includes bibliographical references and index.

Description based on online resource; title from PDF title page (ebrary, viewed December 2, 2013).

ISBN:

9781849696050

1849696055

OCLC:

868297689