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searching for Cross-covariance matrix 4 found (16 total)

Complex random vector (3,034 words) [view diff] exact match in snippet view article find links to article

}+\operatorname {K} _{\mathbf {X} \mathbf {Y} })\end{aligned}}} The cross-covariance matrix between two complex random vectors Z , W {\displaystyle \mathbf

Kabsch algorithm (1,138 words) [view diff] exact match in snippet view article find links to article

{\displaystyle H_{ij}=\sum _{k=1}^{N}P_{ki}Q_{kj},} which is a cross-covariance matrix when P and Q are seen as data matrices. It is possible to calculate

Minimum mean square error (9,310 words) [view diff] exact match in snippet view article find links to article

{y}}=\operatorname {E} \{y\},} the C X Y {\displaystyle C_{XY}} is cross-covariance matrix between x {\displaystyle x} and y {\displaystyle y} , the C Y {\displaystyle

Kalman filter (20,605 words) [view diff] no match in snippet view article find links to article

noise, v k {\displaystyle \mathbf {v} _{k}} . Additionally, the cross covariance matrix is also needed C x z = ∑ j = 0 2 L W j c ( x j − x ^ k | k − 1