Maximum discrimination approach for classification of nearly identical signatures
Document Type
Conference Proceeding
Date of Original Version
1-1-2015
Abstract
A method of classifying signatures that are very nearly identical is described. In this instance, slight template errors can result in poor classification performance even in a high signal-to-noise ratio environment. To ameliorate the uncertainty in the signature templates a new approach is proposed. It involves processing only the maximum discrimination frequency bands. A computer simulation using actual chemical signatures illustrates the approach and demonstrates its improved performance over traditional techniques.
Publication Title, e.g., Journal
Proceedings of SPIE - The International Society for Optical Engineering
Volume
9455
Citation/Publisher Attribution
Kay, Steven, and Darren K. Emge. "Maximum discrimination approach for classification of nearly identical signatures." Proceedings of SPIE - The International Society for Optical Engineering 9455, (2015). doi: 10.1117/12.2177056.