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

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 th...

Full description

Saved in:
Bibliographic Details
Main Authors: Denakpo, Elsa, Hannotte, Theo, Lavancier, Melanie, Barois, Sophie Eliet, Peretti, Romain
Format: Conference Proceeding
Language:English
Subjects:
Dynamic range
Estimation
Fitting
Frequency-domain analysis
Noise reduction
Spectroscopy
Uncertainty
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:2162-2035
DOI:10.1109/IRMMW-THz50927.2022.9895812