Add references to smoothing chapter.
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@ -146,7 +146,7 @@ EKF and UKF are linear approximations of nonlinear problems. Unless programmed c
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* [**Chapter 13: Numerical Stability**](not implemented)
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* [**Chapter 14: Smoothing**](http://nbviewer.ipython.org/urls/raw.github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python/master/14_Smoothing/14_Smoothing.ipynb)
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* [**Chapter 14: Smoothing**](http://nbviewer.ipython.org/urls/raw.github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python/master/14_Smoothing/Smoothing.ipynb)
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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.
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@ -54,6 +54,8 @@ if __name__ == '__main__':
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'09_Extended_Kalman_Filters/Extended_Kalman_Filters.ipynb',
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'10_Unscented_Kalman_Filters/Unscented_Kalman_Filter.ipynb',
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'11_Designing_Nonlinear_Kalman_Filters/Designing_Nonlinear_Kalman_Filters.ipynb',
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'12_HInfinity_Filters/HInfinity_Filters.ipynb',
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'14_Smoothing/Smoothing.ipynb',
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'Appendix_A_Installation/Appendix_Installation.ipynb',
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'Appendix_B_Symbols_and_Notations/Appendix_Symbols_and_Notations.ipynb'])
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@ -97,7 +97,7 @@
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"\n",
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"*This chapter is not started. I'm likely to rearrange where this material goes - this is just a placeholder.*\n",
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"\n",
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"[**Chapter 14: Smoothing**](http://nbviewer.ipython.org/urls/raw.github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python/master/14_Smoothing/14_Smoothing.ipynb)\n",
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"[**Chapter 14: Smoothing**](http://nbviewer.ipython.org/urls/raw.github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python/master/14_Smoothing/Smoothing.ipynb)\n",
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" \n",
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"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.\n",
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" \n",
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