2009
DOI: 10.1364/ol.34.001213
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Methodologies for determining the dynamic ranges and signal-to-noise ratios of terahertz time-domain spectrometers

Abstract: We discuss procedures for calculating the signal-to-noise ratios and the dynamic ranges of terahertz time-domain spectrometers. We also offer recommendations for standardized calculations for time-domain and frequency-domain data.

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Cited by 156 publications
(85 citation statements)
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“…Due to the fact that in our experiment, we analyzed the time-domain data, the performance of the system was determined also in time domain, according to the procedure described in [30]. The signal-to-noise ratio and the dynamic range are equal to 90 and 1500, respectively.…”
Section: Methodsmentioning
confidence: 99%
“…Due to the fact that in our experiment, we analyzed the time-domain data, the performance of the system was determined also in time domain, according to the procedure described in [30]. The signal-to-noise ratio and the dynamic range are equal to 90 and 1500, respectively.…”
Section: Methodsmentioning
confidence: 99%
“…Such spectra are available when the influence of water vapour is minimized by purging the chamber with dry air. To assess system performance, the signal-to-noise ratio and dynamic range were determined in the frequency domain according to the algorithm presented in [24] (Fig. 3).…”
Section: Experimental and Data Analysismentioning
confidence: 99%
“…The parameters commonly used are the dynamic range (DR) and the signal-to-noise ratio (SNR), which mainly affect the accuracy in THz measurements. They should always be evaluated during the measurements, to avoid false interpretation of the results; therefore, some recommendations for the best practice are presented [31].…”
Section: Performance Of Thz Systemsmentioning
confidence: 99%