It should be emphasized that the algorithm, as presented, is independent of the method employed to obtain the initial estimates of the multiples and the primaries. It should also be stressed that the algorithm does not rely on explicit knowledge of the moveouts of the primaries or the multiples. It only relies on the fact that the data is the sum of the multiples and the primaries. The method can be used not only to match primaries and multiples but in general to match estimates of noise and signal to data containing both. I showed an example with the separation of ground-roll and body-waves with land data, but other applications may also be possible.