Improved linear discrimination using time-frequency dictionaries

Jonathan B. Buckheit; David L. Donoho

doi:10.1117/12.217608

1 September 1995 Improved linear discrimination using time-frequency dictionaries

Jonathan B. Buckheit, David L. Donoho

Proceedings Volume 2569, Wavelet Applications in Signal and Image Processing III; (1995) https://doi.org/10.1117/12.217608
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

Abstract

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.

Citation Download Citation

Jonathan B. Buckheit and David L. Donoho "Improved linear discrimination using time-frequency dictionaries", Proc. SPIE 2569, Wavelet Applications in Signal and Image Processing III, (1 September 1995); https://doi.org/10.1117/12.217608

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