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

MATLAB-based algorithm integration


We can benefit from the rapid prototype approach in C code as well. After we make the serial driver ready, it can be easily integrated with the algorithm written in MATLAB. Recall what we have done in the previous chapter: the complex algorithm can be quickly implemented in high-level MATLAB m-script and then compiled into a static C library. In the main() function (refer to main_avg.c file in the source code of Chapter 5), we can call both the device driver and the algorithm function. In this section, we will provide a simple example, which will utilize the MATLAB algorithm that we developed in the previous chapter.

The algorithm is based on the fact that there could be a "false alarm". A false alarm means the device gives out the positive signal, but there is no such motion in the real world. The false alarm is due to the noise inside the device and the environment, especially when the device is switched into high-sensitivity mode. Therefore, we usually...