Chapter renaming.

Renamed the 1d kalman filter chapter with a better file name.
Changed references to 'histogram' filter to discrete bayes.

Backed out particle filter chapter; it is just babble at the moment.

pdf/merge_book.py

@@ -39,7 +39,7 @@ if __name__ == '__main__':
          '../02_Discrete_Bayes.ipynb',
          '../03_Least_Squares_Filters.ipynb',
          '../04_Gaussians.ipynb',
-         '../05_Kalman_Filters.ipynb',
+         '../05_One_Dimensional_Kalman_Filters.ipynb',
          '../06_Multivariate_Kalman_Filters.ipynb',
          '../07_Kalman_Filter_Math.ipynb',
          '../08_Designing_Kalman_Filters.ipynb',

table_of_contents.ipynb

@@ -35,7 +35,7 @@
     "Introduces using Gaussians to represent beliefs in the Bayesian sense. Gaussians allow us to implement the algorithms used in the discrete Bayes filter to work in continuous domains.\n",
     "\n",
     "\n",
-    "[**Chapter 5: One Dimensional Kalman Filters**](http://nbviewer.ipython.org/urls/raw.github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python/master/05_Kalman_Filters.ipynb)\n",
+    "[**Chapter 5: One Dimensional Kalman Filters**](http://nbviewer.ipython.org/urls/raw.github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python/master/05_One_Dimensional_Kalman_Filters.ipynb)\n",
     "\n",
     "Implements a Kalman filter by modifying the discrete Bayes filter to use Gaussians. This is a full featured Kalman filter, albeit only useful for 1D problems. \n",
     "\n",