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

被引：3

作者：

Denakpo, Elsa ^{[1
]}

Hannotte, Theo ^{[1
]}

Lavancier, Melanie ^{[1
]}

Barois, Sophie Eliet ^{[1
]}

Peretti, Romain ^{[1
]}

机构：

[1] Univ Lille, Inst Elect Microelect & Nanotechnol, CNRS, F-59652 Villeneuve Dascq, France

来源：

2022 47TH INTERNATIONAL CONFERENCE ON INFRARED, MILLIMETER AND TERAHERTZ WAVES (IRMMW-THZ 2022) | 2022年

关键词：

D O I：

10.1109/IRMMW-THz50927.2022.9895812

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页数：2

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