fix comment to docstring
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47b89ddd32
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@ -19,20 +19,20 @@ from gtsam.utils.test_case import GtsamTestCase
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class TestKalmanFilter(GtsamTestCase):
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class TestKalmanFilter(GtsamTestCase):
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def test_KalmanFilter(self):
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def test_KalmanFilter(self):
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"""
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# Kalman Filter Definitions:
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Kalman Filter Definitions:
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#
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F - State Transition Model
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# F - State Transition Model
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B - Control Input Model
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# B - Control Input Model
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u - Control Vector
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# u - Control Vector
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modelQ - Covariance of the process Noise (input for KalmanFilter object) - sigma as input
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# modelQ - Covariance of the process Noise (input for KalmanFilter object) - sigma as input
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Q - Covariance of the process Noise (for reference calculation) - sigma^2 as input
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# Q - Covariance of the process Noise (for reference calculation) - sigma^2 as input
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H - Observation Model
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# H - Observation Model
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z1 - Observation iteration 1
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# z1 - Observation iteration 1
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z2 - Observation iteration 2
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# z2 - Observation iteration 2
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z3 - observation iteration 3
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# z3 - observation iteration 3
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modelR - Covariance of the observation Noise (input for KalmanFilter object) - sigma as input
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# modelR - Covariance of the observation Noise (input for KalmanFilter object) - sigma as input
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R - Covariance of the observation Noise (for reference calculation) - sigma^2 as input
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# R - Covariance of the observation Noise (for reference calculation) - sigma^2 as input
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"""
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F = np.eye(2)
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F = np.eye(2)
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B = np.eye(2)
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B = np.eye(2)
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