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Proceedings Paper

Efficiency of using correlation function for estimation of probability of substance detection on the base of THz spectral dynamics
Author(s): Vyacheslav A. Trofimov; Nikolay V. Peskov; Dmitry A. Kirillov
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Paper Abstract

One of the problems arising in Time-Domain THz spectroscopy for the problem of security is the developing the criteria for assessment of probability for the detection and identification of the explosive and drugs. We analyze the efficiency of using the correlation function and another functional (more exactly, spectral norm) for this aim. These criteria are applied to spectral lines dynamics. For increasing the reliability of the assessment we subtract the averaged value of THz signal during time of analysis of the signal: it means deleting the constant from this part of the signal. Because of this, we can increase the contrast of assessment. We compare application of the Fourier-Gabor transform with unbounded (for example, Gaussian) window, which slides along the signal, for finding the spectral lines dynamics with application of the Fourier transform in short time interval (FTST), in which the Fourier transform is applied to parts of the signals, for the same aim. These methods are close each to other. Nevertheless, they differ by series of frequencies which they use. It is important for practice that the optimal window shape depends on chosen method for obtaining the spectral dynamics. The probability enhancements if we can find the train of pulses with different frequencies, which follow sequentially. We show that there is possibility to get pure spectral lines dynamics even under the condition of distorted spectrum of the substance response on the action of the THz pulse.

Paper Details

Date Published: 15 October 2012
PDF: 17 pages
Proc. SPIE 8496, Terahertz Emitters, Receivers, and Applications III, 84960T (15 October 2012); doi: 10.1117/12.927441
Show Author Affiliations
Vyacheslav A. Trofimov, Lomonosov Moscow State Univ. (Russian Federation)
Nikolay V. Peskov, Lomonosov Moscow State Univ. (Russian Federation)
Dmitry A. Kirillov, Lomonosov Moscow State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 8496:
Terahertz Emitters, Receivers, and Applications III
Manijeh Razeghi; Alexei N. Baranov; Henry O. Everitt; John M. Zavada; Tariq Manzur, Editor(s)

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