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Using concepts developed in the fields of compressive sensing and random-projection-based embeddings, we consider classification of an object situated within a complex propagation environment. We demonstrate that propagation through such an environment may be exploited to enhance classification performance, analogous to the enhanced resolution in time-reversal techniques. The theory is demonstrated using rf measurements.