Adaptive estimation of Raman chemical mixture spectra
- Brookhaven National Lab., Upton, NY (United States). Dept. of Advanced Technology
The authors introduce an adaptive mixing (AM) algorithm for estimating the relative ratios of chemicals in a mixture spectrum. This procedure is particularly well suited to mixtures with a large dynamic range of mixture weights. It has the advantage of being able to be used in conjunction with a band-pass (difference-of-Gaussian or DOG) filter, and a correction of baseline off-set and tilting of the spectrum. Output of these filtering techniques is a cleaner signal retaining most of the relevant Raman spectral signature while minimizing artifacts due primarily to Rayleigh, dust, and atmospheric aerosols. The authors will describe the results of applying the algorithm to mixture spectra with both real and simulated additive noise.
- OSTI ID:
- 492295
- Report Number(s):
- CONF-960848-; ISBN 0-8194-2221-5; TRN: IM9730%%174
- Resource Relation:
- Conference: Denver `96: 1. conference on space processing of materials, at SPIE International Society for Optical Engineering (SPIE) annual international symposium on optical science, engineering, and instrumentation, Denver, CO (United States), 4-9 Aug 1996; Other Information: PBD: 1996; Related Information: Is Part Of Application of lidar to current atmospheric topics; Sedlacek, A.J. III [ed.] [Brookhaven National Lab., Upton, NY (United States). Dept. of Advanced Technology]; PB: 270 p.; SPIE proceedings series, Volume 2833
- Country of Publication:
- United States
- Language:
- English
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