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Kalman filtering demo in MATLAB with automatic MATLAB-to-C code generation

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Kalman filtering demo in MATLAB with automatic MATLAB-to-C code generation

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05 Mar 2010 (Updated )

Kalman filtering algorithm to track an object and generating C source code for implementation

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Description

This entry contains the demo presented as part of two separate MathWorks webinars related to MATLAB-to-C code generation. In this demo, we feature a Kalman filtering algorithm for tracking moving objects and will demonstrate how to automatically generate C code from MATLAB functions.

Automatic MATLAB-to-C code generation is available for a subset of the MATLAB language called Embedded MATLABĀ®, which consists of more than 310 MATLAB operators and functions, 110 Fixed-Point Toolbox functions, and 35 Signal Processing Toolbox functions and new System objects in Signal Processing Blockset and Video and Image Processing Blockset.

You can learn more by viewing any of these two recorded webinars on mathworks.com:
1. http://www.mathworks.com/company/events/webinars/wbnr43180.html
2. http://www.mathworks.com/company/events/webinars/wbnr40173.html

You will learn how to develop a MATLAB algorithm based on Kalman filtering to track the trajectory of an object moving in Cartesian 2-D space. You also learn how to use specific features of MATLAB, Fixed-Point Toolbox, Simulink, Real-Time Workshop, and related products to:

- Develop and validate MATLAB algorithms compliant with the Embedded MATLAB subset
- Automatically generate C code from your designs in MATLAB and Simulink
- Iterate and elaborate your algorithm to to handle typical design patterns like use of variable-size data & fixed-point data

Latest Submitted Version Download: http://www.mathworks.com/matlabcentral/fileexchange/admin/download/26862

Required Products Fixed-Point Designer
Simulink Coder
Simulink
MATLAB release MATLAB 7.9 (R2009b)
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Updates
09 Jun 2010

Copyright additions; updated description and added links.

29 Jul 2010

Just changed the title to focus on what this entry does and optimize download potential

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