Time domain calculus of Wiener and Masani together with the von Neumann’s alternating projection formula are employed to obtain a time domain algorithm for the best linear interpolator of unrecorded innovations in discrete time multivariate second order stationary processes. From the interpolated innovations of a multivariate discrete-time ARMA process we indicate how to compute interpolated values of the process itself.
