Example #1
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 def P(self, value):
     """ covariance matrix"""
     self._P = setter_scalar(value, self.dim_x)
     self._P1_2 = cholesky(self._P, lower=True)
Example #2
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 def P(self, value):
     self._P = setter_scalar(value, self.dim_x)
     self._P1_2 = cholesky(self._P, lower=True)
Example #3
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 def Q(self, value):
     self._Q = setter_scalar(value, self.dim_x)
Example #4
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 def Q(self, value):
     """ Process uncertainty matrix"""
     self._Q = setter_scalar(value, self.dim_x)
Example #5
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 def R(self, value):
     """ measurement uncertainty"""
     self._R = setter_scalar(value, self.dim_z)
Example #6
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 def P(self, value):
     self._P = setter_scalar(value, self.dim_x)
Example #7
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 def W(self, value):
     self._W = setter_scalar(value, self.dim_x)
Example #8
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 def R_inv(self, value):
     self._R_inv = setter_scalar(value, self.dim_z)
Example #9
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 def P_inv(self, value):
     self._P_inv = setter_scalar(value, self.dim_x)
Example #10
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 def R(self, value):
     """ measurement uncertainty"""
     self._R = setter_scalar(value, self.dim_z)
     self._R1_2 = cholesky(self._R, lower=True)
Example #11
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 def P_inv(self, value):
     self._P_inv = setter_scalar(value, self.dim_x)
Example #12
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 def P(self, value):
     """ covariance matrix"""
     self._P = setter_scalar(value, self.dim_x)
     self._P1_2 = cholesky(self._P, lower=True)
Example #13
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 def Q(self, value):
     """ Process uncertainty"""
     self._Q = setter_scalar(value, self.dim_x)
     self._Q1_2 = cholesky(self._Q, lower=True)
Example #14
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 def R(self, value):
     """ measurement uncertainty"""
     self._R = setter_scalar(value, self.dim_z)
     self._R1_2 = cholesky(self._R, lower=True)
Example #15
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 def Q(self, value):
     """ Process uncertainty matrix"""
     self._Q = setter_scalar(value, self.dim_x)
Example #16
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 def R_inv(self, value):
     self._R_inv = setter_scalar(value, self.dim_z)
Example #17
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 def P(self, value):
     """ state covariance matrix"""
     self._P = setter_scalar(value, self.dim_x)
Example #18
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 def R(self, value):
     self._R = setter_scalar(value, self.dim_z)
Example #19
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 def V(self, value):
     self._V = setter_scalar(value, self.dim_z)
     self._V_inv = linalg.inv(self.V)
Example #20
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 def Q(self, value):
     self._Q = setter_scalar(value, self.dim_x)
     self._Q1_2 = cholesky(self._Q, lower=True)
Example #21
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 def Q(self, value):
     self._Q = setter_scalar(value, self.dim_x)
Example #22
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 def P(self, value):
     self._P = setter_scalar(value, self.dim_x)
     self._P1_2 = cholesky(self._P, lower=True)
Example #23
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 def P(self, value):
     """ state covariance matrix"""
     self._P = setter_scalar(value, self.dim_x)
Example #24
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 def R(self, value):
     self._R = setter_scalar(value, self.dim_z)
     self._R1_2 = cholesky(self._R, lower=True)
Example #25
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 def Q(self, value):
     self._Q = setter_scalar(value, self.dim_x)
     self._Q1_2 = cholesky (self._Q, lower=True)
Example #26
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 def R(self, value):
     """ measurement uncertainty"""
     self._R = setter_scalar(value, self.dim_z)
Example #27
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 def R(self, value):
     self._R = setter_scalar(value, self.dim_z)
     self._R1_2 = cholesky (self._R, lower=True)
Example #28
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 def R(self, value):
     self._R = setter_scalar(value, self.dim_z)
Example #29
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 def P(self, value):
     self._P = setter_scalar(value, self.dim_x)
Example #30
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 def Q(self, value):
     """ Process uncertainty"""
     self._Q = setter_scalar(value, self.dim_x)
     self._Q1_2 = cholesky(self._Q, lower=True)