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rlabbe merged 1 commit into from
Feb 2, 2018
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add missing letters #84

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4 changes: 2 additions & 2 deletions docs/kalman/KalmanFilter.rst
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Expand Up @@ -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::

Expand Down Expand Up @@ -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**
Expand Down