{ "metadata": { "name": "", "signature": "sha256:0daafb03588df165f6ab3a24032dff6c9dd058dadf3e9c412f54c22856ae3d6c" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "[Table of Contents](http://nbviewer.ipython.org/github/rlabbe/Kalman-and-Bayesian-Filters-in-Python/blob/master/table_of_contents.ipynb)" ] }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Least Squares Filters" ] }, { "cell_type": "code", "collapsed": false, "input": [ "#format the book\n", "%matplotlib inline\n", "from __future__ import division, print_function\n", "import matplotlib.pyplot as plt\n", "import book_format\n", "book_format.load_style()" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "\n", "\n" ], "metadata": {}, "output_type": "pyout", "prompt_number": 1, "text": [ "" ] } ], "prompt_number": 1 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Introduction" ] }, { "cell_type": "markdown", "metadata": {}, "source": [] } ], "metadata": {} } ] }