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Merge pull request #781 from danbarla/danbarla_dev
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python/gtsam/tests/test_KalmanFilter.py

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class TestKalmanFilter(GtsamTestCase):
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def test_KalmanFilter(self):
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"""
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Kalman Filter Definitions:
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F - State Transition Model
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B - Control Input Model
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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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Q - Covariance of the process Noise (for reference calculation) - sigma^2 as input
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H - Observation Model
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z1 - Observation iteration 1
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z2 - Observation iteration 2
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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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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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B = np.eye(2)
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u = np.array([1.0, 0.0])

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