The DOI matches its Crossref record; 5 of the 6 references it cites were found in a registry or an index.
Noise analysis, noise reduction and covariance estimation for Time domain Spectroscopy
Open accessAbstract
Time domain spectroscopy is now 30 year old and spread more and more along many fields of analytical sciences. The specificity of this technique reads in its name: measurements are not done in the frequency domain using a dispersive element, but in the time domain. One of the consequences is that the data processing is specific as well and shows both complexity and opportunities. In this conference, we will present a thorough noise analysis as well as a method to reduce it in order to take the full benefit of the dynamic range in the case of relatively strong signals.
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The main sources of noise identified are variation of laser power and delay line position, which impact the time sampling step.
“Hence, the main sources of noise identified are the variation of the laser power and the delay line position which impact the time sampling step.”
From Signal Estimation and Uncertainties Extraction in Terahertz Time-Domain Spectroscopy (2025) · cites this paper as [35]
Citations
Cites
THz-TDS Time-Trace Analysis for the Extraction of Material and Metamaterial Parameters
Peretti, R., Mitryukovskiy, S., Froberger, K., Mebarki, M. A., Eliet, S., Vanwolleghem, M., & Lampin, J.-F. (2019) · IEEE Transactions on Terahertz Science and Technology · doi:10.1109/tthz.2018.2889227 · Cited by 78
Self-citationNeu, J., Nikonow, H., & Schmuttenmaer, C. A. (2018) · The Journal of Physical Chemistry A · doi:10.1021/acs.jpca.8b04978 · Cited by 46
Tayvah, U., Spies, J. A., Neu, J., & Schmuttenmaer, C. A. (2021) · Analytical Chemistry · doi:10.1021/acs.analchem.1c02132 · Cited by 41
Maximum-likelihood parameter estimation in terahertz time-domain spectroscopy
Mohtashemi, L., Westlund, P., Sahota, D. G., Lea, G. B., Bushfield, I., Mousavi, P., & Dodge, J. S. (2021) · Optics Express · doi:10.1364/oe.417724 · Cited by 24 · cited 2×
“Finally, as explained by [1], it is important to evaluate this noise to enable the estimation of the precision of the measurements in TDS and this is the focus of our last part.”
BackgroundBeyond the "Dynamic range" approach In noise evaluation for Terahertz Time domain spectrometers
Muller, C., Lavancier, M., Bichon, J., Hannotte, T., Lampin, J.-F., Eliet, S., & Peretti, R. (2021) · 2021 46th International Conference on Infrared, Millimeter and Terahertz Waves (IRMMW-THz) · doi:10.1109/irmmw-thz50926.2021.9566941 · Cited by 7
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1 of the 6 references couldn’t be matched to a known paper.
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Advanced Data Processing of THz-Time Domain Spectroscopy Data with Sinusoidally Moving Delay Lines
Vogel, T., & Saraceno, C. J. (2024) · Journal of Infrared Millimeter and Terahertz Waves · doi:10.1007/s10762-024-01012-w · Cited by 12
Signal Estimation and Uncertainties Extraction in Terahertz Time-Domain Spectroscopy
Denakpo, E., Hannotte, T., Osseiran, N., Orieux, F., & Peretti, R. (2025) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2025.3554287 · Cited by 6
“Many studies [30], [31], [32], [33], [34], [35] had been done on the subject of noise sources in THz-TDS systems.”
Self-citationTowards the elimination of water in THz-TDS data
Osseiran, N., Bichon, J., Eliet, S., & Peretti, R. (2024) · International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz) · doi:10.1109/irmmw-thz60956.2024.10697539 · Cited by 3
Self-citationPeretti, R. (2023) · Optical Methods for Inspection, Characterization, and Imaging of Biomaterials · doi:10.1117/12.2675742 · Cited by 2
Self-citationFrom Noise analysis to Error Bars on Refractive Index in THz-TDS
Osseiran, N., Bichon, J., Raj, A., Hannotte, T., Eliet, S., & Peretti, R. (2023) · International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz) · doi:10.1109/irmmw-thz57677.2023.10299169 · Cited by 2
Self-citationTerahertz time domain spectroscopy of a single split ring resonator coupled to an amino acid crystal
Hannotte, T., Pillet, A., Osseiran, N., Lampin, J., & Peretti, R. (2023) · International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz) · doi:10.1109/irmmw-thz57677.2023.10299331 · Cited by 1
Self-citationCan the THz-TDS detect trace gases?
Osseiran, N., Bichon, J., Eliet, S., & Peretti, R. (2024) · International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz) · doi:10.1109/irmmw-thz60956.2024.10734282 · Cited by 1
Self-citationHannotte, T. (2022) · theses.fr (ABES) · doi:10.70675/974da4e2ze8aaz4987zade7zdaa09eb36023 · Cited by 1
Self-citationQuantitative analysis of optical parameters using THz-TDS
Raj, A. (2023) · Jyväskylä University Digital Archive (University of Jyväskylä)
Advanced Data Processing of THz-Time Domain Spectroscopy Data with Sinusoidally Moving Delay Lines
Vogel, T., & Saraceno, C. J. (2024) · arXiv
Metadata
- Authors
- Denakpo, E., Hannotte, T., Lavancier, M., Barois, S. E., & Peretti, R.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- Institut d’Electronique de Microélectronique et de Nanotechnologie, Université Lille, CNRS,Villeneuve d’Ascq,France,59652
- Venue
- 2022 47th International Conference on Infrared, Millimeter and Terahertz Waves (IRMMW-THz)
- Publisher
- IEEE
- Published
- 2022-08-28
- Pages
- 1-2
- OpenAlex
- W4297100102
- Cited by
- 9
- References
- 6
- Citations by year
- 2025: 1 · 2024: 4 · 2023: 3 · 2022: 1
- FWCI
- 28.56
- Type
- conference paper
- Language
- en
- Open access
- green
- hal.science
- Locations
- International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz) (publishedVersion)
- HAL (submittedVersion, other-oa)
- LillOA (Université de Lille (University Of Lille)) (submittedVersion, other-oa)
- Topics
- Physical Sciences › Chemistry › Spectroscopy › Spectroscopy and Laser Applications
- Physical Sciences › Chemistry › Analytical Chemistry › Spectroscopy and Chemometric Analyses
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Terahertz technology and applications
- Keywords
- time-domain spectroscopy, noise analysis, noise reduction, covariance matrix estimation, dynamic range, signal processing
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