Depth resolution enhancement of terahertz deconvolution by autoregressive spectral extrapolation - CNRS - Centre national de la recherche scientifique Accéder directement au contenu
Article Dans Une Revue Optics Letters Année : 2017

Depth resolution enhancement of terahertz deconvolution by autoregressive spectral extrapolation

Alexandre Locquet
D. Citrin

Résumé

This Letter presents a method for enhancing the depth resolution of terahertz deconvolution based on autoregressive (AR) spectral extrapolation. The terahertz frequency components with a high signal-to-noise ratio (SNR) are modeled with an AR process, and the missing frequency components in the regions with low SNRs are extrapolated based on the AR model. In this way, the entire terahertz frequency spectrum of the impulse response function, corresponding to the material structure, is recovered. This method, which is verified numerically and experimentally, is able to provide a “quasi-ideal” impulse response function and, therefore, greatly enhances the depth resolution for characterizing optically thin layers in the terahertz regime.
Fichier principal
Vignette du fichier
Depth_resolution_enhancement_of_terahertz_deconvolution_by_autoregressive_spectral_extrapolation__1_.pdf (609.58 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-02347766 , version 1 (08-04-2022)

Identifiants

Citer

Junliang Dong, Alexandre Locquet, D. Citrin. Depth resolution enhancement of terahertz deconvolution by autoregressive spectral extrapolation. Optics Letters, 2017, 42 (9), pp.1828. ⟨10.1364/OL.42.001828⟩. ⟨hal-02347766⟩
66 Consultations
109 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More