Noise analysis, noise reduction and covariance estimation for Time domain Spectroscopy - Archive ouverte HAL
Communication Dans Un Congrès Année : 2022

Noise analysis, noise reduction and covariance estimation for Time domain Spectroscopy

Résumé

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.
Fichier principal
Vignette du fichier
irmwelsa_TH.pdf (243.83 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03793402 , version 1 (01-10-2022)

Identifiants

Citer

Elsa Denakpo, Theo Hannotte, Melanie Lavancier, Sophie Eliet, Romain Peretti. Noise analysis, noise reduction and covariance estimation for Time domain Spectroscopy. 2022 47th International Conference on Infrared, Millimeter and Terahertz Waves (IRMMW-THz), Aug 2022, Delft, Netherlands. pp.1-2, ⟨10.1109/IRMMW-THz50927.2022.9895812⟩. ⟨hal-03793402⟩
35 Consultations
101 Téléchargements

Altmetric

Partager

More