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Atsushi Sakai
2018-11-16 21:54:42 +09:00
parent 953cc3857e
commit ad9173f0ae
5 changed files with 7 additions and 10 deletions
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4
docs/modules/Kalmanfilter_basics.rst
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@@ -82,8 +82,8 @@ This is for a multivariate distribution. For example, a robot in 2-D
space can take values in both x and y. To describe them, a normal
distribution with mean in both x and y is needed.
For a multivariate distribution, mean $:raw-latex:`\mu `can be
represented as a matrix,
For a multivariate distribution, mean :math:`\mu` can be represented as
a matrix,
.. math::

7
docs/modules/Kalmanfilter_basics_2.rst
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@@ -42,12 +42,9 @@ complete.
The filter works in two parts:
:math:`\bullet` $p(x_{t} \|
x_{t-1},u_{t}):raw-latex:`\rightarrow `$\ **State Transition
Probability**
:math:`p(x_{t} | x_{t-1},u_{t})` -> **State Transition Probability**
:math:`\bullet` $p(z_{t} \| x_{t})
:raw-latex:`\rightarrow `$\ **Measurement Probability**
:math:`p(z_{t} | x_{t})` -> **Measurement Probability**
Conditional dependence and independence example:
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~