daviddoji/Kalman-and-Bayesian-Filters-in-Python
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Add references to smoothing chapter.

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Roger Labbe
2014-11-16 16:12:14 -08:00
parent 75c4e9ce97
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README.md
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@@ -146,7 +146,7 @@ EKF and UKF are linear approximations of nonlinear problems. Unless programmed c
* [**Chapter 13: Numerical Stability**](not implemented)
* [**Chapter 14: Smoothing**](http://nbviewer.ipython.org/urls/raw.github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python/master/14_Smoothing/14_Smoothing.ipynb)
* [**Chapter 14: Smoothing**](http://nbviewer.ipython.org/urls/raw.github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python/master/14_Smoothing/Smoothing.ipynb)
Kalman filters are recursive, and thus very suitable for real time filtering. However, they work well for post-processing data. We discuss some common approaches.