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Longer titles found: Cross-covariance matrix (view)

searching for Cross-covariance 9 found (34 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

Whitening transformation (825 words) [view diff] exact match in snippet view article find links to article

Optimal whitening transforms can be singled out by investigating the cross-covariance and cross-correlation of X {\displaystyle X} and Y {\displaystyle Y}

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

Stationary process (2,606 words) [view diff] exact match in snippet view article find links to article

wide-sense stationary if they are both wide-sense stationary and their cross-covariance function K X Y ( t 1 , t 2 ) = E ⁡ [ ( X t 1 − m X ( t 1 ) ) ( Y t

Spectral density (5,856 words) [view diff] exact match in snippet view article find links to article

and yn, the relationship between the cross-spectral density and the cross-covariance is S x y ( f ) = ∑ n = − ∞ ∞ R x y ( τ n ) e − i 2 π f τ n Δ τ {\displaystyle

Stochastic process (18,657 words) [view diff] exact match in snippet view article find links to article

{\displaystyle \left\{Y_{t}\right\}} are called uncorrelated if their cross-covariance K X Y ⁡ ( t 1 , t 2 ) = E ⁡ [ ( X ( t 1 ) − μ X ( t 1 ) ) ( Y ( t 2

Covariance operator (424 words) [view diff] case mismatch in snippet view article find links to article

at Chapel Hill. Baker, C. R. (December 1973). "Joint Measures and Cross-Covariance Operators" (PDF). Transactions of the American Mathematical Society

Kalman filter (20,921 words) [view diff] no match in snippet view article find links to article

observation 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 −

Kernel methods for vector output (4,218 words) [view diff] no match in snippet view article find links to article

{\textbf {x}}')} if q = q ′ {\displaystyle q=q'} and 0 otherwise. The cross covariance between any two functions f d ( x ) {\displaystyle f_{d}({\textbf {x}})}