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A simple transfer-function-based approach for estimating material parameters from terahertz time-domain data

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A simple transfer-function-based approach for estimating material parameters from terahertz time-domain data. / Tych, Katarzyna; Wood, Christopher; Tych, Wlodek.
In: IEEE Photonics Journal, Vol. 6, No. 1, 6800211, 02.2014.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Tych, K, Wood, C & Tych, W 2014, 'A simple transfer-function-based approach for estimating material parameters from terahertz time-domain data', IEEE Photonics Journal, vol. 6, no. 1, 6800211. https://doi.org/10.1109/JPHOT.2013.2292337

APA

Tych, K., Wood, C., & Tych, W. (2014). A simple transfer-function-based approach for estimating material parameters from terahertz time-domain data. IEEE Photonics Journal, 6(1), Article 6800211. https://doi.org/10.1109/JPHOT.2013.2292337

Vancouver

Tych K, Wood C, Tych W. A simple transfer-function-based approach for estimating material parameters from terahertz time-domain data. IEEE Photonics Journal. 2014 Feb;6(1):6800211. doi: 10.1109/JPHOT.2013.2292337

Author

Tych, Katarzyna ; Wood, Christopher ; Tych, Wlodek. / A simple transfer-function-based approach for estimating material parameters from terahertz time-domain data. In: IEEE Photonics Journal. 2014 ; Vol. 6, No. 1.

Bibtex

@article{b5a15566f88c4a6fbc9e25a6ba70f47d,
title = "A simple transfer-function-based approach for estimating material parameters from terahertz time-domain data",
abstract = "A novel parametrically efficient approach to estimating the spectra of short transient signals is proposed and evaluated, with an application to estimating material properties, including complex refractive index and absorption coefficient, in the terahertz (THz) frequency range. This technique includes uncertainty analysis of the obtained spectral estimates, allowing rigorous statistical comparison between samples. In the proposed approach, a simple, few-parameter continuous-time transfer function model explains over 99.9% of the measured signal. The problem, normally solved using poorly numerically defined Fourier transform deconvolution methods, is reformulated and cast as a time-domain dynamic-system estimation problem, thus providing a true time-domain spectroscopy tool. ",
keywords = "Spectrum estimation, transient signal, parametric spectra , spectroscopy",
author = "Katarzyna Tych and Christopher Wood and Wlodek Tych",
year = "2014",
month = feb,
doi = "10.1109/JPHOT.2013.2292337",
language = "English",
volume = "6",
journal = "IEEE Photonics Journal",
issn = "1943-0655",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "1",

}

RIS

TY - JOUR

T1 - A simple transfer-function-based approach for estimating material parameters from terahertz time-domain data

AU - Tych, Katarzyna

AU - Wood, Christopher

AU - Tych, Wlodek

PY - 2014/2

Y1 - 2014/2

N2 - A novel parametrically efficient approach to estimating the spectra of short transient signals is proposed and evaluated, with an application to estimating material properties, including complex refractive index and absorption coefficient, in the terahertz (THz) frequency range. This technique includes uncertainty analysis of the obtained spectral estimates, allowing rigorous statistical comparison between samples. In the proposed approach, a simple, few-parameter continuous-time transfer function model explains over 99.9% of the measured signal. The problem, normally solved using poorly numerically defined Fourier transform deconvolution methods, is reformulated and cast as a time-domain dynamic-system estimation problem, thus providing a true time-domain spectroscopy tool.

AB - A novel parametrically efficient approach to estimating the spectra of short transient signals is proposed and evaluated, with an application to estimating material properties, including complex refractive index and absorption coefficient, in the terahertz (THz) frequency range. This technique includes uncertainty analysis of the obtained spectral estimates, allowing rigorous statistical comparison between samples. In the proposed approach, a simple, few-parameter continuous-time transfer function model explains over 99.9% of the measured signal. The problem, normally solved using poorly numerically defined Fourier transform deconvolution methods, is reformulated and cast as a time-domain dynamic-system estimation problem, thus providing a true time-domain spectroscopy tool.

KW - Spectrum estimation

KW - transient signal

KW - parametric spectra

KW - spectroscopy

U2 - 10.1109/JPHOT.2013.2292337

DO - 10.1109/JPHOT.2013.2292337

M3 - Journal article

VL - 6

JO - IEEE Photonics Journal

JF - IEEE Photonics Journal

SN - 1943-0655

IS - 1

M1 - 6800211

ER -