Organizing book into directories
This commit is contained in:
Roger Labbe
commit
bda9810ea1
@ -1,7 +1,7 @@
|
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{
|
||||
"metadata": {
|
||||
"name": "",
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"signature": "sha256:aaedbb5dd7c16f3a7777036a6bb62b1f9c7641915224d83029f51ffbefc1d48e"
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},
|
||||
"nbformat": 3,
|
||||
"nbformat_minor": 0,
|
||||
@ -24,6 +24,8 @@
|
||||
"%matplotlib inline\n",
|
||||
"from __future__ import division, print_function\n",
|
||||
"import matplotlib.pyplot as plt\n",
|
||||
"import sys\n",
|
||||
"sys.path.insert(0,'../') # allow us to format the book\n",
|
||||
"import book_format\n",
|
||||
"book_format.load_style()"
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],
|
||||
@ -250,15 +252,14 @@
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||||
"output_type": "pyout",
|
||||
"prompt_number": 1,
|
||||
"text": [
|
||||
"<IPython.core.display.HTML at 0x7f5a64035860>"
|
||||
"<IPython.core.display.HTML at 0x7f5e0d759a20>"
|
||||
]
|
||||
}
|
||||
],
|
||||
"prompt_number": 1
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},
|
||||
{
|
||||
"cell_type": "heading",
|
||||
"level": 2,
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"This book is written in IPython Notebook, a browser based interactive Python environment that mixes Python, text, and math. I choose it because of the interactive features - I found Kalman filtering nearly impossible to learn until I started working in an interactive environment. It is difficult to form an intuition of the effect of many of the parameters that you can tune until you can change them rapidly and immediately see the output. An interactive environment also allows you to play 'what if' scenarios out. \"What if I set $\\mathbf{Q}$ to zero?\" It is trivial to find out with Ipython Notebook.\n",
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||||
@ -1,7 +1,7 @@
|
||||
{
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"metadata": {
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"name": "",
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"signature": "sha256:fc7a76981c0f56cd0ecc2e002ce26fdf15803c9b00c697fc5550b071291626ff"
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"signature": "sha256:34de03d319fbef2790012c38db97348abe5e8f429c2d05cedae3dcdec75dbd5d"
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},
|
||||
"nbformat": 3,
|
||||
"nbformat_minor": 0,
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||||
@ -16,6 +16,8 @@
|
||||
"%matplotlib inline\n",
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||||
"from __future__ import division, print_function\n",
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||||
"import matplotlib.pyplot as plt\n",
|
||||
"import sys\n",
|
||||
"sys.path.insert(0,'../') # allow us to format the book\n",
|
||||
"import book_format\n",
|
||||
"book_format.load_style()"
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||||
],
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||||
@ -240,13 +242,13 @@
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],
|
||||
"metadata": {},
|
||||
"output_type": "pyout",
|
||||
"prompt_number": 3,
|
||||
"prompt_number": 1,
|
||||
"text": [
|
||||
"<IPython.core.display.HTML at 0x7fe174bfb350>"
|
||||
"<IPython.core.display.HTML at 0x7fa10405ba20>"
|
||||
]
|
||||
}
|
||||
],
|
||||
"prompt_number": 3
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||||
"prompt_number": 1
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||||
},
|
||||
{
|
||||
"cell_type": "heading",
|
||||
@ -398,9 +400,7 @@
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"$\\mathbf{\\phi}\\phi$"
|
||||
]
|
||||
"source": []
|
||||
}
|
||||
],
|
||||
"metadata": {}
|
||||
1471
Chapter01_gh_filter/g-h_filter.ipynb
Normal file
1471
Chapter01_gh_filter/g-h_filter.ipynb
Normal file
File diff suppressed because one or more lines are too long
1182
Chapter02_Discrete_Bayes/discrete_bayes.ipynb
Normal file
1182
Chapter02_Discrete_Bayes/discrete_bayes.ipynb
Normal file
File diff suppressed because one or more lines are too long
@ -1,7 +1,7 @@
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||||
{
|
||||
"metadata": {
|
||||
"name": "",
|
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"signature": "sha256:df77e6367b272d34fe0d1178b053a99c258abca7195ecda99ac5a7e8e192c698"
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"signature": "sha256:60b7dd24deaf8929b5cdf8bc775a6bcfea306255a2fe7ef7e7773a6019198647"
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||||
},
|
||||
"nbformat": 3,
|
||||
"nbformat_minor": 0,
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@ -24,6 +24,8 @@
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"%matplotlib inline\n",
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"from __future__ import division, print_function\n",
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"import matplotlib.pyplot as plt\n",
|
||||
"import sys\n",
|
||||
"sys.path.insert(0,'../') # allow us to import book_format\n",
|
||||
"import book_format\n",
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||||
"book_format.load_style()"
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],
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@ -250,7 +252,7 @@
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||||
"output_type": "pyout",
|
||||
"prompt_number": 1,
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||||
"text": [
|
||||
"<IPython.core.display.HTML at 0x7fc878ec3d50>"
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||||
"<IPython.core.display.HTML at 0x7f62500339e8>"
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||||
]
|
||||
}
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||||
],
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||||
791
Chapter04_Gaussians/Gaussians.ipynb
Normal file
791
Chapter04_Gaussians/Gaussians.ipynb
Normal file
File diff suppressed because one or more lines are too long
2166
Chapter05_Kalman_Filters/Kalman_Filters.ipynb
Normal file
2166
Chapter05_Kalman_Filters/Kalman_Filters.ipynb
Normal file
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
475
Chapter07_Kalman_Filter_Math/Kalman_Filter_Math.ipynb
Normal file
475
Chapter07_Kalman_Filter_Math/Kalman_Filter_Math.ipynb
Normal file
File diff suppressed because one or more lines are too long
1834
Chapter08_Designing_Kalman_Filters/Designing_Kalman_Filters.ipynb
Normal file
1834
Chapter08_Designing_Kalman_Filters/Designing_Kalman_Filters.ipynb
Normal file
File diff suppressed because one or more lines are too long
1041
Chapter09_Extended_Kalman_Filters/Extended_Kalman_Filters.ipynb
Normal file
1041
Chapter09_Extended_Kalman_Filters/Extended_Kalman_Filters.ipynb
Normal file
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
789
Gaussians.ipynb
789
Gaussians.ipynb
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
2164
Kalman_Filters.ipynb
2164
Kalman_Filters.ipynb
File diff suppressed because one or more lines are too long
@ -1,257 +0,0 @@
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{
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||||
"metadata": {
|
||||
"name": "",
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"signature": "sha256:f0360fc9458bd40069073ce91309aab5fcae24de06b9e4ddd9a1b31f7c2e3b96"
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},
|
||||
"nbformat": 3,
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||||
"nbformat_minor": 0,
|
||||
"worksheets": [
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||||
{
|
||||
"cells": [
|
||||
{
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||||
"cell_type": "heading",
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||||
"level": 1,
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||||
"metadata": {},
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||||
"source": [
|
||||
"Signals and Noise"
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]
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||||
},
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||||
{
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||||
"cell_type": "code",
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||||
"collapsed": false,
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||||
"input": [
|
||||
"#format the book\n",
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||||
"%matplotlib inline\n",
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||||
"from __future__ import division, print_function\n",
|
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"import matplotlib.pyplot as plt\n",
|
||||
"import book_format\n",
|
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"book_format.load_style()"
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||||
],
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||||
"language": "python",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"html": [
|
||||
"<style>\n",
|
||||
" div.cell{\n",
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||||
" width: 850px;\n",
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||||
" margin-left: 0% !important;\n",
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||||
" margin-right: auto;\n",
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||||
" }\n",
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||||
" div.text_cell code {\n",
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||||
" background: #F6F6F9;\n",
|
||||
" color: #0000FF;\n",
|
||||
" }\n",
|
||||
" h1 {\n",
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||||
" font-family: 'Open sans',verdana,arial,sans-serif;\n",
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||||
"\t}\n",
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||||
"\t\n",
|
||||
" div.input_area {\n",
|
||||
" background: #F6F6F9;\n",
|
||||
" border: 1px solid #586e75;\n",
|
||||
" }\n",
|
||||
"\n",
|
||||
" .text_cell_render h1 {\n",
|
||||
" font-weight: 200;\n",
|
||||
" font-size: 30pt;\n",
|
||||
" line-height: 100%;\n",
|
||||
" color:#c76c0c;\n",
|
||||
" margin-bottom: 0.5em;\n",
|
||||
" margin-top: 1em;\n",
|
||||
" display: block;\n",
|
||||
" white-space: wrap;\n",
|
||||
" } \n",
|
||||
" h2 {\n",
|
||||
" font-family: 'Open sans',verdana,arial,sans-serif;\n",
|
||||
" }\n",
|
||||
" .text_cell_render h2 {\n",
|
||||
" font-weight: 200;\n",
|
||||
" font-size: 20pt;\n",
|
||||
" font-style: italic;\n",
|
||||
" line-height: 100%;\n",
|
||||
" color:#c76c0c;\n",
|
||||
" margin-bottom: 0.5em;\n",
|
||||
" margin-top: 1.5em;\n",
|
||||
" display: block;\n",
|
||||
" white-space: nowrap;\n",
|
||||
" } \n",
|
||||
" h3 {\n",
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||||
" font-family: 'Open sans',verdana,arial,sans-serif;\n",
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||||
" }\n",
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||||
" .text_cell_render h3 {\n",
|
||||
" font-weight: 300;\n",
|
||||
" font-size: 18pt;\n",
|
||||
" line-height: 100%;\n",
|
||||
" color:#d77c0c;\n",
|
||||
" margin-bottom: 0.5em;\n",
|
||||
" margin-top: 2em;\n",
|
||||
" display: block;\n",
|
||||
" white-space: nowrap;\n",
|
||||
" }\n",
|
||||
" h4 {\n",
|
||||
" font-family: 'Open sans',verdana,arial,sans-serif;\n",
|
||||
" }\n",
|
||||
" .text_cell_render h4 {\n",
|
||||
" font-weight: 300;\n",
|
||||
" font-size: 16pt;\n",
|
||||
" color:#d77c0c;\n",
|
||||
" margin-bottom: 0.5em;\n",
|
||||
" margin-top: 0.5em;\n",
|
||||
" display: block;\n",
|
||||
" white-space: nowrap;\n",
|
||||
" }\n",
|
||||
" h5 {\n",
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||||
" font-family: 'Open sans',verdana,arial,sans-serif;\n",
|
||||
" }\n",
|
||||
" .text_cell_render h5 {\n",
|
||||
" font-weight: 300;\n",
|
||||
" font-style: normal;\n",
|
||||
" color: #1d3b84;\n",
|
||||
" font-size: 16pt;\n",
|
||||
" margin-bottom: 0em;\n",
|
||||
" margin-top: 1.5em;\n",
|
||||
" display: block;\n",
|
||||
" white-space: nowrap;\n",
|
||||
" }\n",
|
||||
" div.text_cell_render{\n",
|
||||
" font-family: 'Open sans',verdana,arial,sans-serif;\n",
|
||||
" line-height: 135%;\n",
|
||||
" font-size: 110%;\n",
|
||||
" width:750px;\n",
|
||||
" margin-left:auto;\n",
|
||||
" margin-right:auto;\n",
|
||||
" text-align:justify;\n",
|
||||
" text-justify:inter-word;\n",
|
||||
" }\n",
|
||||
" div.output_subarea.output_text.output_pyout {\n",
|
||||
" overflow-x: auto;\n",
|
||||
" overflow-y: scroll;\n",
|
||||
" max-height: 300px;\n",
|
||||
" }\n",
|
||||
" div.output_subarea.output_stream.output_stdout.output_text {\n",
|
||||
" overflow-x: auto;\n",
|
||||
" overflow-y: scroll;\n",
|
||||
" max-height: 300px;\n",
|
||||
" }\n",
|
||||
" code{\n",
|
||||
" font-size: 70%;\n",
|
||||
" }\n",
|
||||
" .rendered_html code{\n",
|
||||
" background-color: transparent;\n",
|
||||
" }\n",
|
||||
" ul{\n",
|
||||
" margin: 2em;\n",
|
||||
" }\n",
|
||||
" ul li{\n",
|
||||
" padding-left: 0.5em; \n",
|
||||
" margin-bottom: 0.5em; \n",
|
||||
" margin-top: 0.5em; \n",
|
||||
" }\n",
|
||||
" ul li li{\n",
|
||||
" padding-left: 0.2em; \n",
|
||||
" margin-bottom: 0.2em; \n",
|
||||
" margin-top: 0.2em; \n",
|
||||
" }\n",
|
||||
" ol{\n",
|
||||
" margin: 2em;\n",
|
||||
" }\n",
|
||||
" ol li{\n",
|
||||
" padding-left: 0.5em; \n",
|
||||
" margin-bottom: 0.5em; \n",
|
||||
" margin-top: 0.5em; \n",
|
||||
" }\n",
|
||||
" ul li{\n",
|
||||
" padding-left: 0.5em; \n",
|
||||
" margin-bottom: 0.5em; \n",
|
||||
" margin-top: 0.2em; \n",
|
||||
" }\n",
|
||||
" a:link{\n",
|
||||
" font-weight: bold;\n",
|
||||
" color:#447adb;\n",
|
||||
" }\n",
|
||||
" a:visited{\n",
|
||||
" font-weight: bold;\n",
|
||||
" color: #1d3b84;\n",
|
||||
" }\n",
|
||||
" a:hover{\n",
|
||||
" font-weight: bold;\n",
|
||||
" color: #1d3b84;\n",
|
||||
" }\n",
|
||||
" a:focus{\n",
|
||||
" font-weight: bold;\n",
|
||||
" color:#447adb;\n",
|
||||
" }\n",
|
||||
" a:active{\n",
|
||||
" font-weight: bold;\n",
|
||||
" color:#447adb;\n",
|
||||
" }\n",
|
||||
" .rendered_html :link {\n",
|
||||
" text-decoration: underline; \n",
|
||||
" }\n",
|
||||
" .rendered_html :hover {\n",
|
||||
" text-decoration: none; \n",
|
||||
" }\n",
|
||||
" .rendered_html :visited {\n",
|
||||
" text-decoration: none;\n",
|
||||
" }\n",
|
||||
" .rendered_html :focus {\n",
|
||||
" text-decoration: none;\n",
|
||||
" }\n",
|
||||
" .rendered_html :active {\n",
|
||||
" text-decoration: none;\n",
|
||||
" }\n",
|
||||
" .warning{\n",
|
||||
" color: rgb( 240, 20, 20 )\n",
|
||||
" } \n",
|
||||
" hr {\n",
|
||||
" color: #f3f3f3;\n",
|
||||
" background-color: #f3f3f3;\n",
|
||||
" height: 1px;\n",
|
||||
" }\n",
|
||||
" blockquote{\n",
|
||||
" display:block;\n",
|
||||
" background: #fcfcfc;\n",
|
||||
" border-left: 5px solid #c76c0c;\n",
|
||||
" font-family: 'Open sans',verdana,arial,sans-serif;\n",
|
||||
" width:680px;\n",
|
||||
" padding: 10px 10px 10px 10px;\n",
|
||||
" text-align:justify;\n",
|
||||
" text-justify:inter-word;\n",
|
||||
" }\n",
|
||||
" blockquote p {\n",
|
||||
" margin-bottom: 0;\n",
|
||||
" line-height: 125%;\n",
|
||||
" font-size: 100%;\n",
|
||||
" }\n",
|
||||
"</style>\n",
|
||||
"<script>\n",
|
||||
" MathJax.Hub.Config({\n",
|
||||
" TeX: {\n",
|
||||
" extensions: [\"AMSmath.js\"]\n",
|
||||
" },\n",
|
||||
" tex2jax: {\n",
|
||||
" inlineMath: [ ['$','$'], [\"\\\\(\",\"\\\\)\"] ],\n",
|
||||
" displayMath: [ ['$$','$$'], [\"\\\\[\",\"\\\\]\"] ]\n",
|
||||
" },\n",
|
||||
" displayAlign: 'center', // Change this to 'center' to center equations.\n",
|
||||
" \"HTML-CSS\": {\n",
|
||||
" styles: {'.MathJax_Display': {\"margin\": 4}}\n",
|
||||
" }\n",
|
||||
" });\n",
|
||||
"</script>\n"
|
||||
],
|
||||
"metadata": {},
|
||||
"output_type": "pyout",
|
||||
"prompt_number": 1,
|
||||
"text": [
|
||||
"<IPython.core.display.HTML at 0x2c2dbd0>"
|
||||
]
|
||||
}
|
||||
],
|
||||
"prompt_number": 1
|
||||
}
|
||||
],
|
||||
"metadata": {}
|
||||
}
|
||||
]
|
||||
}
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||||
@ -3,7 +3,7 @@ from IPython.core.display import HTML
|
||||
import matplotlib.pylab as pylab
|
||||
|
||||
def load_style():
|
||||
styles = open("./styles/custom2.css", "r").read()
|
||||
styles = open("../styles/custom2.css", "r").read()
|
||||
return HTML(styles)
|
||||
|
||||
pylab.rcParams['lines.linewidth'] = 2
|
||||
1180
discrete_bayes.ipynb
1180
discrete_bayes.ipynb
File diff suppressed because one or more lines are too long
1469
g-h_filter.ipynb
1469
g-h_filter.ipynb
File diff suppressed because one or more lines are too long
29
gh.py
29
gh.py
@ -1,29 +0,0 @@
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||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
Created on Tue May 13 13:10:50 2014
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||||
|
||||
@author: RL
|
||||
"""
|
||||
|
||||
# position, velocity (fps)
|
||||
pos = 20000
|
||||
vel = 200
|
||||
|
||||
|
||||
t = 10
|
||||
z = 22060
|
||||
|
||||
|
||||
def predict_dz (vel,t):
|
||||
return vel*t
|
||||
|
||||
|
||||
dz = z - pos
|
||||
|
||||
|
||||
print dz - predict_dz(vel,t)
|
||||
|
||||
|
||||
h = 0.1
|
||||
vel = vel + h * (dz - predict_dz(vel,t)) / t
|
||||
print 'new vel =', vel
|
||||
@ -33,19 +33,19 @@ if __name__ == '__main__':
|
||||
#merge_notebooks(sys.argv[1:])
|
||||
merge_notebooks(
|
||||
['Preface.ipynb',
|
||||
'g-h_filter.ipynb',
|
||||
'discrete_bayes.ipynb',
|
||||
'Least_Squares_Filters.ipynb',
|
||||
'Gaussians.ipynb',
|
||||
'Kalman_Filters.ipynb',
|
||||
'Multivariate_Kalman_Filters.ipynb',
|
||||
'Kalman_Filter_Math.ipynb',
|
||||
'Designing_Kalman_Filters.ipynb',
|
||||
'Extended_Kalman_Filters.ipynb',
|
||||
'Unscented_Kalman_Filter.ipynb',
|
||||
'Designing_Nonlinear_Kalman_Filters.ipynb',
|
||||
'Appendix_Installation.ipynb',
|
||||
'Appendix_Symbols_and_Notations.ipynb'])
|
||||
'Chapter01_gh_filter/g-h_filter.ipynb',
|
||||
'Chapter02_Discrete_Bayes/discrete_bayes.ipynb',
|
||||
'Chapter03_Least_Squares/Least_Squares_Filters.ipynb',
|
||||
'Chapter04_Gaussians/Gaussians.ipynb',
|
||||
'Chapter05_Kalman_Filters/Kalman_Filters.ipynb',
|
||||
'Chapter06_Multivariate_Kalman_Filter/Multivariate_Kalman_Filters.ipynb',
|
||||
'Chapter07_Kalman_Filter_Math/Kalman_Filter_Math.ipynb',
|
||||
'Chapter08_Designing_Kalman_Filters/Designing_Kalman_Filters.ipynb',
|
||||
'Chapter09_Extended_Kalman_Filters/Extended_Kalman_Filters.ipynb',
|
||||
'Chapter10_Unscented_Kalman_Filters/Unscented_Kalman_Filter.ipynb',
|
||||
'Chapter11_Designing_Nonlinear_Kalman_Filters/Designing_Nonlinear_Kalman_Filters.ipynb',
|
||||
'Appendix_A_Installation/Appendix_Installation.ipynb',
|
||||
'Appendix_B_Symbols_and_Notations/Appendix_Symbols_and_Notations.ipynb'])
|
||||
|
||||
|
||||
# merge_notebooks(['Preface.ipynb', g-h_filter.ipynb discrete_bayes.ipynb Gaussians.ipynb Kalman_Filters.ipynb Multivariate_Kalman_Filters.ipynb Kalman_Filter_Math.ipynb Designing_Kalman_Filters.ipynb Extended_Kalman_Filters.ipynb Unscented_Kalman_Filter.ipynb'])
|
||||
|
||||
Loading…
Reference in New Issue
Block a user