Composite training images for synthetic discriminant functions

The use of composite images allows more images to be included in the construction of synthetic discriminant functions without increasing the training-set cardinality. This provides lower computational overhead or allows inclusion of more training information for the same computational load. The procedure is demonstrated with the minimum-average-correlation-energy synthetic discriminant function as an example.