Active wavelength selection for mixture identification with tunable mid-infrared detectors
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- 作者：Jin Huang ; Ricardo Gutierrez-Osuna ; tonmey@cse.tamu.edu" class="auth_mail" title="E-mail the corresponding author ; rgutier@cse.tamu.edu" class="auth_mail" title="E-mail the corresponding author
- 关键词：Active wavelength selection ; Mixture identification ; Fabry-Perot interferometry ; Gaussian process regression ; Shrinkage non-negative least squares ; Linear discriminant analysis
- 刊名：Analytica Chimica Acta
- 出版年：2016
- 出版时间：21 September 2016
- 年：2016
- 卷：937
- 期：Complete
- 页码：11-20
- 全文大小：1685 K
文摘
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An active wavelength-selection algorithm is proposed for mixture identification.
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The algorithm runs in real-time, interleaving wavelength selection with sensing.
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Wavelength selection is analyte-specific and based on previous measurements.
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Active wavelength selection operates in two stages: exploration and exploitation.
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The approach is compared against a passive strategy based on successive projection.