Please use this identifier to cite or link to this item: https://doi.org/10.1366/000370203321558245
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dc.titleBand centers and track finding for large two-dimensional infrared spectroscopic arrays
dc.contributor.authorChen, L.
dc.contributor.authorGarland, M.
dc.date.accessioned2014-06-17T08:30:43Z
dc.date.available2014-06-17T08:30:43Z
dc.date.issued2003-03
dc.identifier.citationChen, L., Garland, M. (2003-03). Band centers and track finding for large two-dimensional infrared spectroscopic arrays. Applied Spectroscopy 57 (3) : 323-330. ScholarBank@NUS Repository. https://doi.org/10.1366/000370203321558245
dc.identifier.issn00037028
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/66468
dc.description.abstractAn efficient two-dimensional (2D) peak-finding algorithm is proposed to find peak maps that specify the peak centers of all bands in two-dimensional arrays of time-series infrared spectral data. The algorithm combines the second-derivative method with the intrinsic characteristics of 2D infrared reaction spectral data. Initially, the second-derivative method is used to detect all possible peak center positions, and then three criteria drawn from characteristics of 2D continuous spectral data are employed to filter peak positions. Four 2D peak maps are generated in a sequential order, with better and better approximations to the peak center positions being obtained in each. The 2D peak-finding algorithm has been successfully applied to both simulated spectra (to initially evaluate the algorithm) and then real 2D experimental spectra. The resulting peak maps exhibit very good estimates of the peak center positions. An ordering from the most significant to the least significant bands is obtained. The final peak maps can be used as starting parameters for various applications including the computationally intensive curve-fitting of time-series data.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1366/000370203321558245
dc.sourceScopus
dc.subjectPeak center positions
dc.subjectPeak map
dc.subjectSecond derivative
dc.subjectTime-series data
dc.subjectTwo-dimensional peak-finding algorithm
dc.typeArticle
dc.contributor.departmentCHEMICAL & ENVIRONMENTAL ENGINEERING
dc.contributor.departmentCHEMICAL AND PROCESS ENGINEERING CENTRE
dc.description.doi10.1366/000370203321558245
dc.description.sourcetitleApplied Spectroscopy
dc.description.volume57
dc.description.issue3
dc.description.page323-330
dc.description.codenAPSPA
dc.identifier.isiut000184358200013
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