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Selective filtering of spectral bands based on user-defined parameters.
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Correlation of inputted FT-IR spectra bands with the database to find the most similar compounds.
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Outputs a report with informative graphs and tables in
*.pdf
indicating the five most similar compounds.
Use the database returned from the Spectra Scraper to feed the algorithm. Use a *.csv
file to input the FT-IR spectral data.
Modify all paths accordingly on config.py. Run main.py.
- Baseline correction (Whittaker smoothing & airPLS) from Z.-M. Zhang, S. Chen, and Y.-Z. Liang, 2010.
MIT © Spectral Algorithm Prototype