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                            Library & Multimedia
 Optimization of Gap Derivatives for Measuring Blood Concentration of Fabric Using Vibrational Spectroscopy
NCJ Number
              249283
Journal

*Applied Spectroscopy* Volume: 69 Issue: 6 Dated: June 2015 Pages: 773-748
Author(s)
          Stephanie A. Dejong;
                        Wayne L. O'Brien;
                        Zhenyu  Lu;
                        Brianna M. Cassidy;
                        Stephen L. Morgan;
                        Michael L. Myrick
Date Published

June 2015
Length
              16 pages
Annotation
              Derivatives are common preprocessing tools, typically implemented as Savitzky-Golay (SG) smoothing derivatives. This article discusses the implementation and optimization of fourth-order gap derivatives (GDs) as an alternative to SG derivatives for processing infrared spectra before multivariate calibration.
Abstract
              Gap derivatives approximate the analytical derivative by calculating finite differences of spectra without curve fitting. Gap derivatives offer an advantage of tunability for spectral data, as the distance (gap) over which this finite difference is calculated can be varied. Gap selection is a compromise between signal attenuation, noise amplification, and spectral resolution. A method and discussion of the importance of fourth derivative gap selections are presented as well as a comparison to SG preprocessing and lower-order GDs in the context of multivariate calibration. In most cases, the study found that optimized GDs led to calibration models performing comparably to or better than SG derivatives, and that optimized fourth-order GDs behaved similarly to matched filters. (Publisher abstract modified)
      
  
          Additional Details
Grant Number(s)
        2011-IJ-CX-K055


  
  
        
  Agencies
        NIJ-Sponsored


  
  
        
  Publication Type
        Research (Applied/Empirical)
                                Report (Study/Research)
                                Report (Grant Sponsored)


  
  
        
  Award
        Multimode Imaging in the Thermal Infrared: Validation for Blood, Extension to Latent Prints
    
  
  
Date Published: June 1, 2015
    
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