daviddoji/Kalman-and-Bayesian-Filters-in-Python
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Added links to EKF and UKF chapters.

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Roger Labbe 2014-05-19 17:04:11 -07:00
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"Building on material in Chapter 5, walks you through the design of several Kalman filters. Discusses, but does not solve issues like numerical stability.\n",
" \n",
"\n",
"[**Chapter 8: Extended Kalman Filters**](not implemented)\n",
"[**Chapter 8: Extended Kalman Filters**](http://nbviewer.ipython.org/urls/raw.github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python/master/Extended-Kalman-Filters.ipynb)\n",
" \n",
"Kalman filter as covered only work for linear problems. Extended Kalman filters (EKF) are the most common approach to linearizing non-linear problems.\n",
"\n",
"\n",
"[**Chapter 9: Unscented Kalman Filters**](not implemented)\n",
"[**Chapter 9: Unscented Kalman Filters**](http://nbviewer.ipython.org/urls/raw.github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python/master/Unscented-Kalman-Filter.ipynb)\n",
" \n",
"Unscented Kalman filters (UKF) are a recent development in Kalman filter theory. They allow you to filter nonlinear problems without requiring a closed form solution like the Extended Kalman filter requires.\n",
"\n",