Riemann Function Approach to Unbiased Filtering and Prediction

This paper studies the relationship between the covariance function of a time-dependent ARMA process and the Green′s function of a second-order self-adjoint linear differential equation based on the concept of a Riemann function. The result is used to obtain a closed-form solution to the filtering and prediction of signals embedded in a time-dependent ARMA noise process.