Optimal reconstruction of signals from a set of linear measurements

The problem of statistically optimal reconstruction of a signal based on its arbitrary linear projection is considered. The general solution to the problem is obtained in the form of the optimal reverse filter. The equation defining the filter represents an extension of the Wiener-Hopf equation to the case when N observations are a noise-bearing projection of a continuous random signal onto the space RN