Moving average representation for stationary processes is well-known, but in this work we would like to improve the representation. The question is how to find the coefficients and noise values. We investigate that by apply the corresponding finite Fourier transforms to construct a new stationary process with values in the product space formed by the underlying space and the functional space of the Fourier transforms.
