From 193ea73b83e637502050faaea142ed08d6b569b8 Mon Sep 17 00:00:00 2001
From: ernstklrb <33454758+ernstklrb@users.noreply.github.com>
Date: Fri, 2 Feb 2018 14:38:59 +0100
Subject: [PATCH] add missing letters

---
 docs/kalman/KalmanFilter.rst | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/kalman/KalmanFilter.rst b/docs/kalman/KalmanFilter.rst
index dd4758f5..de913579 100644
--- a/docs/kalman/KalmanFilter.rst
+++ b/docs/kalman/KalmanFilter.rst
@@ -128,7 +128,7 @@ Define the measurement function:
     f.H = np.array([[1.,0.]])
 
 Define the covariance matrix. Here I take advantage of the fact that
-P already contains np.eye(dim_x), and just multipy by the uncertainty:
+P already contains np.eye(dim_x), and just multiply by the uncertainty:
 
 .. code::
 
@@ -182,7 +182,7 @@ while some_condition_is_true:
 
 **Procedural Form**
 
-This module also contains stand alone functions to peform Kalman filtering.
+This module also contains stand alone functions to perform Kalman filtering.
 Use these if you are not a fan of objects.
 
 **Example**