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Fix typo 'transistion' -> 'transition'
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docs/kalman/KalmanFilter.rst

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@@ -50,7 +50,7 @@ H : ndarray (dim_z, dim_x)
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measurement function
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F : ndarray (dim_x, dim_x)
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state transistion matrix
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state transition matrix
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B : ndarray (dim_x, dim_u), default 0
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control transition matrix

filterpy/kalman/CubatureKalmanFilter.py

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@@ -132,7 +132,7 @@ class CubatureKalmanFilter(object):
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fx : function(x, dt)
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function that returns the state x transformed by the
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state transistion function. dt is the time step in seconds.
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state transition function. dt is the time step in seconds.
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x_mean_fn : callable (sigma_points, weights), optional
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Function that computes the mean of the provided sigma points

filterpy/kalman/UKF.py

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@@ -67,7 +67,7 @@ class UnscentedKalmanFilter(object):
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fx : function(x,dt,**fx_args)
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function that returns the state x transformed by the
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state transistion function. dt is the time step in seconds.
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state transition function. dt is the time step in seconds.
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points : class
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Class which computes the sigma points and weights for a UKF

filterpy/kalman/fading_memory.py

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@@ -102,7 +102,7 @@ class KalmanFilter now incorporates the `alpha` attribute, and should
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measurement function
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F : ndarray (dim_x, dim_x)
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state transistion matrix
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state transition matrix
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B : ndarray (dim_x, dim_u), default 0
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control transition matrix

filterpy/kalman/tests/ukf2.py

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@@ -133,7 +133,7 @@ def __init__(self, dim_x, dim_z, dt, hx, fx, points,
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fx : function(x,dt)
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function that returns the state x transformed by the
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state transistion function. dt is the time step in seconds.
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state transition function. dt is the time step in seconds.
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points : class
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Class which computes the sigma points and weights for a UKF

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