"Maximum discrimination approach for classification of nearly identical" by Steven Kay and Darren K. Emge
 

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

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