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

Frame-based signal processing in Simulink


The Simulink support package for BeagleBoard has provided a function block to capture the sound and automatically generate the executables, only after which we can work with digital audio processing, without being too concerned with how the sound is captured. In this chapter, we will confine our discussions primarily to the voice recognition algorithm and how to implement the algorithm through MATLAB and Simulink rapid prototyping.

Simulink supports both sample-based and frame-based signal processing. The sample-based signal in Simulink is a stream of samples. Sampled-signals are the easiest to construct by sampling a real-world (physical) signal at a given sample rate and, in general, most digital-to-analog converters output sample-based signals. In Simulink, a single line between two blocks represents a sample-based signal and Simulink blocks in sample-based operations process signals one sample at a time.

As frame-based signal processing has the...