Improved blind-source separation for spectra
Article first published online: 31 MAR 2011
Copyright © 2011 John Wiley & Sons, Ltd.
Journal of Raman Spectroscopy
Volume 42, Issue 9, pages 1761–1768, September 2011
How to Cite
Rowlands, C. J. and Elliott, S. R. (2011), Improved blind-source separation for spectra. J. Raman Spectrosc., 42: 1761–1768. doi: 10.1002/jrs.2936
- Issue published online: 19 SEP 2011
- Article first published online: 31 MAR 2011
- Manuscript Accepted: 5 FEB 2011
- Manuscript Received: 2 AUG 2010
- independent component analysis;
- blind source separation;
- signal processing;
A new method is proposed that improves the performance of independent component analysis (ICA) algorithms for separating overlapping spectra under certain circumstances. The method is designed for Raman spectra in particular, although it should be applicable to spectra with similar line shapes, such as nuclear magnetic resonance. In the zero-noise case, conventional ICA fails to separate synthetic Raman spectra completely; by maximising smoothness, as opposed to other more traditional measures of statistical independence, better performance can be achieved. The new method is tested against artificial and real Raman spectra, and demonstrates improved performance for each. The algorithm is fully automated, requiring no user input or judgement in order to separate the spectra. Copyright © 2011 John Wiley & Sons, Ltd.