Kalman filter toolbox written by Kevin Murphy, 1998.
See http://www.ai.mit.edu/~murphyk/Software/kalman.html for details.
Installation
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1. Install KPMtools from http://www.ai.mit.edu/~murphyk/Software/KPMtools.html
3. Assuming you installed all these files in your matlab directory, In Matlab type
addpath matlab/KPMtools
addpath matlab/Kalman
Demos
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See tracking_demo.m for a demo of 2D tracking.
See learning_demo.m for a demo of parameter estimation using EM.
較早版本的kalman濾波matlab源碼，適合研讀。
s file contains the Joone Distributed training Environment (DTE).
See http://www.jooneworld.com/docs/dte.html to learn more about it.
To learn more about Joone - Java Object Oriented Neural Engine: http://www.joone.org
Joone and the DTE are both released with the LGPL license
@2004 Paolo Marrone and the Joone team - All rights reserved
====================================================================
Credits
The Joone DTE uses the following external packages:
- SUN Jini Network Technology http://wwws.sun.com/software/jini/index.html
- Computefarm Framework http://computefarm.jini.org
- Spring Framework http://www.springframework.org
We want to thank all the authors and contributors of the above packages.
Please read the respective licenses contained in this distribution.
This zip file provides Getting Started quickly on the AT91RM9200 Evaluation Kit (AT91RM9200-EK) with Green Hills 3.6.1 Multi® 2000 Software Tool. Includes main.html file for help.
