diff --git a/Preface.ipynb b/Preface.ipynb
index ba3b9a3..e092f2b 100644
--- a/Preface.ipynb
+++ b/Preface.ipynb
@@ -1,7 +1,7 @@
{
"metadata": {
"name": "",
- "signature": "sha256:0b133277ac85f975c916bc21148ad9bfba4634dc26c82d0842b53aee56e01439"
+ "signature": "sha256:1271401e3e500309f48f2586d911eb77b92fa00c7c1e66dfa6cb66278cada519"
},
"nbformat": 3,
"nbformat_minor": 0,
@@ -9,11 +9,11 @@
{
"cells": [
{
- "cell_type": "markdown",
+ "cell_type": "heading",
+ "level": 1,
"metadata": {},
"source": [
- "
Kalman and Bayesian Filters in Python
\n",
- "Table of Contents"
+ "Preface"
]
},
{
@@ -31,92 +31,227 @@
"metadata": {},
"outputs": [
{
- "output_type": "stream",
- "stream": "stdout",
- "text": [
- "Installed secnum.py. To use it, type:\n",
- " %load_ext secnum\n"
- ]
- },
- {
- "javascript": [
- "console.log(\"Section numbering...\");\n",
+ "html": [
+ "\n",
+ "\n"
],
"metadata": {},
- "output_type": "display_data"
+ "output_type": "pyout",
+ "prompt_number": 1,
+ "text": [
+ ""
+ ]
}
],
"prompt_number": 1
@@ -251,235 +386,11 @@
]
},
{
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "#format the book\n",
- "import book_format\n",
- "book_format.load_style()"
- ],
- "language": "python",
+ "cell_type": "markdown",
"metadata": {},
- "outputs": [
- {
- "html": [
- "\n",
- "\n"
- ],
- "metadata": {},
- "output_type": "pyout",
- "prompt_number": 1,
- "text": [
- ""
- ]
- }
- ],
- "prompt_number": 1
+ "source": [
+ "rlabbejr@gmail.com"
+ ]
}
],
"metadata": {}
diff --git a/build_book.sh b/build_book.sh
index 41370a8..5db96d5 100755
--- a/build_book.sh
+++ b/build_book.sh
@@ -2,7 +2,7 @@
echo "merging book..."
-ipython nbmerge.py Preface.ipynb Signals_and_Noise.ipynb g-h_filter.ipynb discrete_bayes.ipynb Gaussians.ipynb Kalman_Filters.ipynb Multidimensional_Kalman_Filters.ipynb Kalman_Filter_Math.ipynb Designing_Kalman_Filters.ipynb Extended_Kalman_Filters.ipynb Unscented_Kalman_Filter.ipynb > Kalman_and_Bayesian_Filters_in_Python.ipynb
+python merge_book.py > Kalman_and_Bayesian_Filters_in_Python.ipynb
echo "creating pdf..."
ipython nbconvert --to latex --template book --post PDF Kalman_and_Bayesian_Filters_in_Python.ipynb
diff --git a/g-h_filter.ipynb b/g-h_filter.ipynb
index 2459489..b54fdcb 100644
--- a/g-h_filter.ipynb
+++ b/g-h_filter.ipynb
@@ -1,7 +1,7 @@
{
"metadata": {
"name": "",
- "signature": "sha256:54842314075cdbcdc03bb78f35c3e8a836a4ff44b02d617f5738d57e43019ee4"
+ "signature": "sha256:2a864f60529fef582f39940035399ce8c5b054c28d9216e0503b36798631d661"
},
"nbformat": 3,
"nbformat_minor": 0,
@@ -41,7 +41,7 @@
" margin-right: auto;\n",
" }\n",
" div.text_cell code {\n",
- " background: #FFFFFF;\n",
+ " background: transparent;\n",
" color: #000000;\n",
" font-weight: 600;\n",
" font-size: 13pt;\n",
@@ -250,7 +250,7 @@
"output_type": "pyout",
"prompt_number": 1,
"text": [
- ""
+ ""
]
}
],