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Rapid BeagleBoard Prototyping with MATLAB and Simulink

Rapid BeagleBoard Prototyping with MATLAB and Simulink

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Rapid BeagleBoard Prototyping with MATLAB and Simulink

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)
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Rapid BeagleBoard Prototyping with MATLAB and Simulink
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
2
Index

Summary


This chapter demonstrates the rapid prototyping of a voice recognition system on the BeagleBoard, including RMS voice detection, VQ training, pattern matching, and decision making. The demo is designed to operate for single users, and may be used in multiuser applications. The program in the demo can be further extended for various applications, such as voice control and speaker authorization in smart home applications.

Another important task we performed was adjusting the parameters to optimize recognition performance. This provided us with an advanced tool to reduce the time spent on code development, validation, and optimization. It also enabled us to concentrate on our concept and the data processing algorithm, and avoid intensive coding.

Next, we will develop a video processing system on the BeagleBoard for motion detection.

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Rapid BeagleBoard Prototyping with MATLAB and Simulink
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