Automatically Detecting Peaks in Terahertz Time-Domain Spectroscopy

To classify spectroscopic measurements it is necessary to have comparable methods of evaluation. In Terahertz (THz) time-domain spectroscopy, as a new technology, neither the presentation of the data nor the peak detection is standardized yet. We propose a procedure for automatic peak extraction in...

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Bibliographic Details
Published in:2010 20th International Conference on Pattern Recognition pp. 4468 - 4471
Main Authors: Stephani, Henrike, Jonuscheit, Joachim, Robiné, Christoph, Heise, Bettina
Format: Conference Proceeding
Language:English
Published: IEEE 01.08.2010
Subjects:
Chemical compounds
Feature extraction reduction and analysis
Frequency domain analysis
Noise
Shape
Signal processing systems and applications
Signal/image representation
Spectroscopy
Time domain analysis
ISBN:1424475422, 9781424475421
ISSN:1051-4651
Online Access:Get full text
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Summary:To classify spectroscopic measurements it is necessary to have comparable methods of evaluation. In Terahertz (THz) time-domain spectroscopy, as a new technology, neither the presentation of the data nor the peak detection is standardized yet. We propose a procedure for automatic peak extraction in THz spectra of chemical compounds. After preprocessing in the time-domain, we use a variance based algorithm for determining the valid frequency region. We furthermore propose a baseline correction using simulated THz spectra. We illustrate how this procedure works on the example of hyperspectral THz measurements of six chemical compounds. Subsequently we propose to use unsupervised classification on the thus processed data to robustly detect the characteristic peaks of a compound.
ISBN:1424475422
9781424475421
ISSN:1051-4651
DOI:10.1109/ICPR.2010.1085