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Improving Absorbance Spectrum Reconstruction via Spectral Data Decomposition and Pseudo-Baseline Optimization.
- Source :
-
IEEE Transactions on Instrumentation & Measurement . Mar2009, Vol. 58 Issue 3, p691-697. 7p. 2 Black and White Photographs, 1 Diagram, 1 Chart, 7 Graphs. - Publication Year :
- 2009
-
Abstract
- This paper addresses the problem of reconstruction of the optical absorption spectra on the basis of low-resolution data provided by a spectrophotometric transducer. It is shown that the performance of the algorithms of (generalized) deconvolution with a built-in positivity constraint, which is frequently used for this purpose, deteriorates for data containing a considerable baseline (background). A new method for overcoming that limitation is proposed. It consists of the subtraction of a rough estimate of the baseline (called pseudo-baseline) from the data, reconstruction of the spectrum on the basis of the data modified in this way, and restoration of the pseudo-baseline in the final result of spectrum reconstruction. The proposed amelioration is illustrated by means of an algorithm of spectrum reconstruction based on Jansson's method of deconvolution. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00189456
- Volume :
- 58
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Instrumentation & Measurement
- Publication Type :
- Academic Journal
- Accession number :
- 36581162
- Full Text :
- https://doi.org/10.1109/TIM.2008.2003328