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- W2749276572 abstract "Previous research conducted in this laboratory has demonstrated several advantages accrued by transforming near infrared spectra from the wavelength domain to the Fourier domain. Those advantages include: [1] smoothing wavelength domain data without loss of end points, [2] correcting for particle size phenomena encountered in solid sample analyses by simply omitting the mean term Fourier coefficient from the retransformation process, [3] minimizing the multicollinearity problem prevalent in wavelength space, [4] generating wavelength-space derivatives from Fourier space without loss of end points, [5] performing band enhancements via Fourier self-deconvolution, [6] identifying sample type using Fourier vectors, [7] estimating chemical composition using only the first few Fourier coefficients, [8] cutting of computer storage requirements by more than 96%, [9] cutting of calibration time by more than 96%, hence [10] reducing the drudgery of maintaining calibrations. That the first 12 Fourier coefficients contain sufficient information to determine chemical constituents in many products has turned out to be a major advantage leading us to understand that the chemical absorption information in the wavelength spectrum of a sample obtained with an interferometer was also present in the interferogram." @default.
- W2749276572 created "2017-08-31" @default.
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- W2749276572 date "1989-12-01" @default.
- W2749276572 modified "2023-09-23" @default.
- W2749276572 title "Fourier Transform Near Infrared Spectrometry: Using Interferograms To Determine Chemical Composition" @default.
- W2749276572 doi "https://doi.org/10.1117/12.969406" @default.
- W2749276572 hasPublicationYear "1989" @default.
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