22 May 2015 Maximum discrimination approach for classification of nearly identical signatures
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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.
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Steven Kay, Steven Kay, Darren K. Emge, Darren K. Emge, "Maximum discrimination approach for classification of nearly identical signatures", Proc. SPIE 9455, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XVI, 94550F (22 May 2015); doi: 10.1117/12.2177056; https://doi.org/10.1117/12.2177056

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