Open AccessSpectral estimation of terahertz time‐domain signals using a simple parametric method
Author(s) -
Sanjuan F.,
Galarza C.
Publication year - 2015
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2015.2955
Subject(s) - spectral density estimation , signal (programming language) , autoregressive model , bandwidth (computing) , terahertz radiation , standard deviation , fourier transform , parametric statistics , time domain , frequency domain , algorithm , computer science , mathematics , electronic engineering , statistics , optics , telecommunications , physics , engineering , mathematical analysis , computer vision , programming language
A simple method for spectral estimation of terahertz signals using an autoregressive model is developed. The technique shows a better spectral variance and resolution over the use of the Fast Fourier Transform, which is commonly utilised in this kind of signal. The results are validated comparing the water vapour absorption lines and the standard deviation of a set of 24 measurements between methods. As a consequence of improving the signal variance, a better signal‐to‐noise ratio is achieved without enhancing the experiment. Such result also produces an increase in the signal bandwidth and less error when optical parameters are estimated.