A sparse semi-blind source identification method and its application to Raman spectroscopy for explosives detection
This paper studies reliable detection of unknown chemicals from their spectral mixtures. A semi-blind iterative source separation method is developed to extract unknown chemicals from the fitting residuals. The applications include detection of explosives in homeland security and identification of unknown chemicals from their NMR spectra.
raman spectroscopy explosives detection semi-blind source separation sparsity