
The Library
Objective and efficient terahertz signal denoising by transfer function reconstruction
Tools
Chen, Xuequan, Sun, Qiushuo, Stantchev, Rayko I. and Pickwell-MacPherson, Emma (2020) Objective and efficient terahertz signal denoising by transfer function reconstruction. APL Photonics, 5 (5). 056104. doi:10.1063/5.0002968 ISSN 2378-0967.
|
PDF
WRAP-Objective-efficient-terahertz-denoising-function-MacPherson-2020.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (3532Kb) | Preview |
Official URL: http://dx.doi.org/10.1063/5.0002968
Abstract
As an essential processing step in many disciplines, signal denoising efficiently improves data quality without extra cost. However, it is relatively under-utilized for terahertz spectroscopy. The major technique reported uses wavelet denoising in the time-domain, which has a fuzzy physical meaning and limited performance in low-frequency and water-vapor regions. Here, we work from a new perspective by reconstructing the transfer function to remove noise-induced oscillations. The method is fully objective without a need for defining a threshold. Both reflection imaging and transmission imaging were conducted. The experimental results show that both low- and high-frequency noise and the water-vapor influence were efficiently removed. The spectrum accuracy was also improved, and the image contrast was significantly enhanced. The signal-to-noise ratio of the leaf image was increased up to 10 dB, with the 6 dB bandwidth being extended by over 0.5 THz.
Item Type: | Journal Article | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Subjects: | Q Science > QC Physics | ||||||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Physics | ||||||||||||
Library of Congress Subject Headings (LCSH): | Terahertz spectroscopy, Submillimeter waves, Optoelectronic devices, Antennas (Electronics) | ||||||||||||
Journal or Publication Title: | APL Photonics | ||||||||||||
Publisher: | A I P Publishing LLC | ||||||||||||
ISSN: | 2378-0967 | ||||||||||||
Official Date: | 12 May 2020 | ||||||||||||
Dates: |
|
||||||||||||
Volume: | 5 | ||||||||||||
Number: | 5 | ||||||||||||
Article Number: | 056104 | ||||||||||||
DOI: | 10.1063/5.0002968 | ||||||||||||
Status: | Peer Reviewed | ||||||||||||
Publication Status: | Published | ||||||||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||||||||
Date of first compliant deposit: | 21 May 2020 | ||||||||||||
Date of first compliant Open Access: | 21 May 2020 | ||||||||||||
RIOXX Funder/Project Grant: |
|
Request changes or add full text files to a record
Repository staff actions (login required)
![]() |
View Item |
Downloads
Downloads per month over past year