Let us further model the underlying process of observation as a linear process: y=Ax+z, where A is a known matrix and z is random noise vector with the mean \operatorname{E}\{z\}=0 and cross-covariance C_{XZ} = 0.
W = C_X A^T(AC_XA^T + C_Z)^{-1} .