access icon free Spectral estimation of terahertz time-domain signals using a simple parametric method

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.

Inspec keywords: fast Fourier transforms; signal processing; time-domain analysis

Other keywords: terahertz time-domain signals; simple parametric method; fast Fourier transform; water vapour absorption lines; spectral estimation; autoregressive model

Subjects: Mathematical analysis; Integral transforms; Signal processing and detection; Integral transforms; Signal processing theory; Mathematical analysis

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http://iet.metastore.ingenta.com/content/journals/10.1049/el.2015.2955
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