Signal recovery using similarity constraints

[[abstract]]The method of projections onto convex sets (POCS) is a technique for restoring signals from the available data and prior constraints. In general each additional constraint helps to narrow the set of feasible solutions consistent with the data and prior constraints and thus enable a more faithful representation of the signal. The authors discuss a new constraint, called similarity. The similarity constraint is associated with a closed, convex set and hence is useful in POCS. They present the similarity projector, discuss its properties, and illustrate its application in signal recovery and synthesis with examples[[fileno]]2030113030001[[department]]電機工程學