示例#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)
示例#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)
示例#3
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 def Q(self, value):
     self._Q = setter_scalar(value, self.dim_x)
示例#4
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 def Q(self, value):
     """ Process uncertainty matrix"""
     self._Q = setter_scalar(value, self.dim_x)
示例#5
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 def R(self, value):
     """ measurement uncertainty"""
     self._R = setter_scalar(value, self.dim_z)
示例#6
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 def P(self, value):
     self._P = setter_scalar(value, self.dim_x)
示例#7
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 def W(self, value):
     self._W = setter_scalar(value, self.dim_x)
示例#8
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 def R_inv(self, value):
     self._R_inv = setter_scalar(value, self.dim_z)
示例#9
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 def P_inv(self, value):
     self._P_inv = setter_scalar(value, self.dim_x)
示例#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)
示例#11
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 def P_inv(self, value):
     self._P_inv = setter_scalar(value, self.dim_x)
示例#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)
示例#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)
示例#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)
示例#15
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 def Q(self, value):
     """ Process uncertainty matrix"""
     self._Q = setter_scalar(value, self.dim_x)
示例#16
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 def R_inv(self, value):
     self._R_inv = setter_scalar(value, self.dim_z)
示例#17
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 def P(self, value):
     """ state covariance matrix"""
     self._P = setter_scalar(value, self.dim_x)
示例#18
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 def R(self, value):
     self._R = setter_scalar(value, self.dim_z)
示例#19
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 def V(self, value):
     self._V = setter_scalar(value, self.dim_z)
     self._V_inv = linalg.inv(self.V)
示例#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)
示例#21
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 def Q(self, value):
     self._Q = setter_scalar(value, self.dim_x)
示例#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)
示例#23
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 def P(self, value):
     """ state covariance matrix"""
     self._P = setter_scalar(value, self.dim_x)
示例#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)
示例#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)
示例#26
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 def R(self, value):
     """ measurement uncertainty"""
     self._R = setter_scalar(value, self.dim_z)
示例#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)
示例#28
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文件： EKF.py 项目： ytaleb17/filterpy 
 def R(self, value):
     self._R = setter_scalar(value, self.dim_z)
示例#29
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 def P(self, value):
     self._P = setter_scalar(value, self.dim_x)
示例#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)