From 6533e3b22eed1cfd9df48456aef39b08a05b4851 Mon Sep 17 00:00:00 2001 From: Roger Labbe Date: Tue, 13 Jan 2015 07:56:50 -0800 Subject: [PATCH] Fixed typo --- 15_Adaptive_Filtering/Adaptive_Filtering.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/15_Adaptive_Filtering/Adaptive_Filtering.ipynb b/15_Adaptive_Filtering/Adaptive_Filtering.ipynb index c6a1ff0..d337134 100644 --- a/15_Adaptive_Filtering/Adaptive_Filtering.ipynb +++ b/15_Adaptive_Filtering/Adaptive_Filtering.ipynb @@ -1,7 +1,7 @@ { "metadata": { "name": "", - "signature": "sha256:9db8ce6c5109bbbdc28040752dc575e21e34a00bf0cd0ba8ac47e8b7cf7b2a20" + "signature": "sha256:97b2f171dee324b433a935a17ca3a82b43169f655f4090827fc6587dbce6f8fe" }, "nbformat": 3, "nbformat_minor": 0, @@ -1276,7 +1276,7 @@ "\n", "The fading memory filter accounts for this problem by giving less weight to older measurements, and greater weight to the more recent measurements. \n", "\n", - "There are many formulations for the fading memory Filter; I use the one provided by Dan simon in *Optimal State Estimation* [3]. I will not go through his derivation, but only provide the results.\n", + "There are many formulations for the fading memory Filter; I use the one provided by Dan Simon in *Optimal State Estimation* [3]. I will not go through his derivation, but only provide the results.\n", "\n", "The Kalman filter equation for the covariances of the estimation error is\n", "\n",