From 57737bbeb8909018a82374ccb853157bdc2692be Mon Sep 17 00:00:00 2001 From: Roger Labbe Date: Tue, 27 Jan 2015 12:58:27 -0800 Subject: [PATCH] moved chapter 13 for reorg --- .../HInfinity_Filters.ipynb => 13_HInfinity_Filters.ipynb | 8 ++++---- 13_HInfinity_Filters/README.md | 2 -- 2 files changed, 4 insertions(+), 6 deletions(-) rename 13_HInfinity_Filters/HInfinity_Filters.ipynb => 13_HInfinity_Filters.ipynb (99%) delete mode 100644 13_HInfinity_Filters/README.md diff --git a/13_HInfinity_Filters/HInfinity_Filters.ipynb b/13_HInfinity_Filters.ipynb similarity index 99% rename from 13_HInfinity_Filters/HInfinity_Filters.ipynb rename to 13_HInfinity_Filters.ipynb index 2f84c39..fd282d1 100644 --- a/13_HInfinity_Filters/HInfinity_Filters.ipynb +++ b/13_HInfinity_Filters.ipynb @@ -1,7 +1,7 @@ { "metadata": { "name": "", - "signature": "sha256:95a94456205f2facb47cd98f348f7a1b8b8ef4380e7764a6a75ae5445091db01" + "signature": "sha256:57f2862cd8540acc35671d93baee8bd8128cca71a0fb8b85fc734bca546eecac" }, "nbformat": 3, "nbformat_minor": 0, @@ -30,7 +30,7 @@ "%matplotlib inline\n", "from __future__ import division, print_function\n", "import sys\n", - "sys.path.insert(0,'../code') # allow us to format the book\n", + "sys.path.insert(0,'./code') # allow us to format the book\n", "import book_format\n", "book_format.load_style()" ], @@ -259,7 +259,7 @@ "output_type": "pyout", "prompt_number": 1, "text": [ - "" + "" ] } ], @@ -334,7 +334,7 @@ "output_type": "display_data", "png": 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YiaIgZO/evVzzFOC6pwbXPTW47qnBdR+awTSVKstzKKvzcy09eyajSo0w7veRF11xMFAj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\nIiIih/v/7PQ07H/UtrkAAAAASUVORK5CYII=\n", "text": [ - "" + "" ] } ], diff --git a/13_HInfinity_Filters/README.md b/13_HInfinity_Filters/README.md deleted file mode 100644 index d041551..0000000 --- a/13_HInfinity_Filters/README.md +++ /dev/null @@ -1,2 +0,0 @@ -You may read this book online via nbviewer by using this link: -[*Read Online Now*](http://nbviewer.ipython.org/github/rlabbe/Kalman-and-Bayesian-Filters-in-Python/blob/master/table_of_contents.ipynb)