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. © 2008 American Institute of Physics.
|Original language||English (US)|
|Journal||Applied Physics Letters|
|State||Published - Dec 1 2008|