Documentation example add

diff --git a/doc/en/ref_algorithm_KalmanFilter.rst b/doc/en/ref_algorithm_KalmanFilter.rst
index 713cd449668a4f8087d5b74224b32a375312b881..f852cfb52dda6153f930f2fc583bfa4ebe31d3f6 100644 (file)
--- a/doc/en/ref_algorithm_KalmanFilter.rst
+++ b/doc/en/ref_algorithm_KalmanFilter.rst
@@ -173,6 +173,11 @@ StoreSupplementaryCalculations
 
 .. include:: snippets/SimulatedObservationAtCurrentState.rst
 
+.. ------------------------------------ ..
+.. include:: snippets/Header2Algo09.rst
+
+.. include:: scripts/simple_KalmanFilter1.rst
+
 .. ------------------------------------ ..
 .. include:: snippets/Header2Algo06.rst
 

diff --git a/doc/en/scripts/simple_KalmanFilter1.rst b/doc/en/scripts/simple_KalmanFilter1.rst
new file mode 100644 (file)
index 0000000..3b2282a
--- /dev/null
+++ b/doc/en/scripts/simple_KalmanFilter1.rst
@@ -0,0 +1,8 @@
+.. index:: single: KalmanFilter (example)
+
+The Kalman Filter can be used for a **reanalysis of observations of a given
+dynamical model**. It is because the whole set of the observation  full history
+is already known at the beginning of the time windows that it is called
+*reanalysis*, even if the iterative analysis keeps unkown the future
+observations at a given time step.
+

diff --git a/doc/fr/ref_algorithm_KalmanFilter.rst b/doc/fr/ref_algorithm_KalmanFilter.rst
index f17f38833f9f557ec9c33a616ac67b960a5a3c2a..a7d69b86d487b83a73a73675ab262c1266eeffce 100644 (file)
--- a/doc/fr/ref_algorithm_KalmanFilter.rst
+++ b/doc/fr/ref_algorithm_KalmanFilter.rst
@@ -174,6 +174,11 @@ StoreSupplementaryCalculations
 
 .. include:: snippets/SimulatedObservationAtCurrentState.rst
 
+.. ------------------------------------ ..
+.. include:: snippets/Header2Algo09.rst
+
+.. include:: scripts/simple_KalmanFilter1.rst
+
 .. ------------------------------------ ..
 .. include:: snippets/Header2Algo06.rst
 

diff --git a/doc/fr/scripts/simple_KalmanFilter1.rst b/doc/fr/scripts/simple_KalmanFilter1.rst
new file mode 100644 (file)
index 0000000..b71f2b8
--- /dev/null
+++ b/doc/fr/scripts/simple_KalmanFilter1.rst
@@ -0,0 +1,8 @@
+.. index:: single: KalmanFilter (exemple)
+
+Le filtre de Kalman peut être utilisé pour une **réanalyse des observations
+d'un modèle dynamique donné**. C'est parce que l'ensemble de l'historique
+complet de l'observation est déjà connu au début des fenêtres temporelles qu'on
+parle de *réanalyse*, même si l'analyse itérative conserve inconnues les
+observations futures à un pas de temps donné.
+