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• W2014735712 abstract "When reconstructing a measured spectrum to enhance its signal-to-noise ratio (SNR), the objective is to minimize the variance between the smooth reconstructed spectrum and the original measured spectrum, hence to attain an acceptably small χ 2 value. The χ 2 value thus measures the fidelity of the reconstruction to the original. Smoothness can be conceived as attenuated variation between adjacent points in a spectrum. Thus, a conceptual change in the application of the χ 2 function to the difference between adjacent points of the reconstructed spectrum permits its use, in principle, as both a measure of smoothness and a measure of fidelity. We show here that implementations of this concept produce results superior to Savitzky–Golay filters." @default.
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• W2014735712 date "2008-08-01" @default.
• W2014735712 modified "2023-09-25" @default.
• W2014735712 title "Chi-Squared-Based Filters for High-Fidelity Signal-to-Noise Ratio Enhancement of Spectra" @default.
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• W2014735712 doi "https://doi.org/10.1366/000370208785284259" @default.
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