Kalman filtering demo in MATLAB with automatic MATLAB-to-C code generation (Scripts) Publisher's description
from Houman Zarrinkoub
This entry contains the demo presented as part of two separate
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 MATLABВ®, 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:
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
System Requirements:MATLAB 7.9 (2009b)
Program Release Status: Major Update
Program Install Support: Install and Uninstall