A correlation analysis–based wavelength selection method

Versione 1.0.0 (3,07 MB) da 琢频 徐
A correlation analysis–based wavelength selection (CAWS) method. It is used for selecting wavelengths with good inter-instrument correlation
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Aggiornato 30 set 2020

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A correlation analysis–based wavelength selection (CAWS) method. It is used for selecting wavelengths with good inter-instrument correlation for the purpose of improving the transfer efficiency of near-infrared calibration models.
When transferring the calibration models, the CAWS algorithm should be used in combination with other calibration transfer algorithms. Three combined algorithms, "CAWS and Slope bias", "CAWS and PDS", and "CAWS and SST" are listed in the zip file, and named CAWSSBC, CAWSPDS and CAWSSST,respectively.

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琢频 徐 (2025). A correlation analysis–based wavelength selection method (https://it.mathworks.com/matlabcentral/fileexchange/80608-a-correlation-analysis-based-wavelength-selection-method), MATLAB Central File Exchange. Recuperato .

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Versione Pubblicato Note della release
1.0.0