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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Brouard, P. Morawski, R.Z. Barwicz, A. |
| Copyright Year | 1994 |
| Description | Author affiliation: Dept. d'Ingenierie, Quebec Univ., Trois-Rivieres, Que., Canada (Brouard, P.) |
| Abstract | Raw spectrograms are subject to systematic errors of an instrumental type that may be reduced provided a mathematical model of the instrumental imperfections is identified. It is assumed in the paper that this model has the form of an integral, convolution-type equation of the first kind whose kernel may be causal or not. The correction of the spectrograms consists in numerically solving this equation on the basis of the noisy data. Acquired by a spectrometer. An algorithm of correction is proposed which is based on the approximation of the solution with a spline function whose parameters are determined by means of a recursive Kalman-filter-based algorithm with a non-negativity constraint imposed on the set of feasible solutions. It is shown, using spectrophotometric data, that an improvement in the resolution of the spectrometer can be attained. |
| Starting Page | 1443 |
| Ending Page | 1446 |
| File Size | 336245 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780318803 |
| DOI | 10.1109/IMTC.1994.352168 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1994-05-10 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Spectrogram Kalman filters Spectroscopy Approximation algorithms Seismic measurements Instruments Integral equations Distortion measurement Signal processing algorithms Digital signal processing |
| Content Type | Text |
| Resource Type | Article |
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