Improved linear discrimination using time-frequency dictionaries
Jonathan B. Buckheit, David L. Donoho · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1995
We consider linear discriminant analysis in the setting where the objects (signals/images) have many dimensions (samples/pixels) and there are relatively few training samples. We discuss ways that time frequency dictionaries can be used to adaptively select a small set of derived features which lead to improved misclassification rates.