Book Image

Rapid BeagleBoard Prototyping with MATLAB and Simulink

Book Image

Rapid BeagleBoard Prototyping with MATLAB and Simulink

Overview of this book

As an open source embedded single-board computer with many standard interfaces, Beagleboard is ideal for building embedded audio/video systems to realize your practical ideas. The challenge is how to design and implement a good digital processing algorithm on Beagleboard quickly and easily without intensive low-level coding. Rapid BeagleBoard Prototyping with MATLAB and Simulink is a practical, hands-on guide providing you with a number of clear, step-by-step exercises which will help you take advantage of the power of Beagleboard and give you a good grounding in rapid prototyping techniques for your audio/video applications. Rapid BeagleBoard Prototyping with MATLAB and Simulink looks at rapid prototyping and how to apply these techniques to your audio/video applications with Beagleboard quickly and painlessly without intensive manual low-level coding. It will take you through a number of clear, practical recipes that will help you to take advantage of both the Beagleboard hardware platform and Matlab/Simulink signal processing. We will also take a look at building S-function blocks that work as hardware drivers and interfaces for Matlab/Simulink. This gives you more freedom to explore the full range of advantages provided by Beagleboard. By the end of this book, you will have a clear idea about Beagleboard and Matlab/Simulink rapid prototyping as well as how to develop voice recognition systems, motion detection systems with I/O access, and serial communication for your own applications such as a smart home.
Table of Contents (15 chapters)
Rapid BeagleBoard Prototyping with MATLAB and Simulink
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Other things to try


So far, we have developed the serial communication driver in C and built an IR motion detection application. In order to improve the performance (that is, reduce false alarms), we made use of the advanced feature of the IR sensor and integrated a data-processing algorithm developed in MATLAB into the application.

If you prefer a Simulink development environment, you can follow the section Writing a Simulink device driver block for BeagleBoard discussed in the previous chapter to integrate these C driver code into a Simulink S-Function block for graphical programming. As a result, you will get a serial communication driver block for BeagleBoard in Simulink.

As you can see in the filtering algorithm for reducing false alarms, we have to wait for five readings and then calculate their average in a batch off-line mode. For a better computation efficiency and shorter response time, the algorithm can be improved by using a moving average filter that calculates the mean in a recursive...