@article{sharma_spectral_2017,
	title = {Spectral {Analysis} {Of} {Indoor} {Radon} {Time}-{Seriesusing} {Frequency} {And} {Time}-{Frequency} {Techniques}},
	volume = {4},
	issn = {2394 – 3386},
	url = {http://www.ijetsr.com/images/short_pdf/1490942197_PH1007_ijetsr.pdf},
	abstract = {A complete understanding of the dynamics governing the movement of the radon mass from soil into the indoor environment, which undoubtedly are complex and dependent on many factors, is still a matter of ongoing investigation. In the present study, we focus our attention on the study of the nature of temporal variations of indoor radon, which description must be adequately explained by any theory claiming to model the aforementioned radon-transport dynamics. A radon time-series was obtained through continuous monitoring (recorded every 10 minutes) of an indoor location using Alphaguard PQ 2000PRO. The frequency components of the time series are measured using Fourier transform (Discrete Fourier transform or DFT). Fourier analysis only reveals the containing frequencies of a signal without any time information, hence we also undertook time-frequency analysis using Short-Time Fourier Transform (STFT) as well as wavelet transform. The results reveal strong diurnal and a much weaker sub-diurnal periodicity in the temporal variation of indoor radon.},
	language = {English},
	number = {3},
	journal = {International Journal of Engineering Technology Science and Research},
	author = {Sharma, Yubaraj and Maibam, Deveshwori and Khardewsaw, Alfanel and Saxena, Atul},
	month = mar,
	year = {2017},
	pages = {358--363},
	file = {Full Text:F\:\\Yubaraj\\Important Documents Yubaraj\\Biodata and list of publications\\List of Publications\\As Zotero collection\\storage\\IR98XVUM\\Sharma et al. - 2017 - Spectral Analysis Of Indoor Radon Time-Seriesusing.pdf:application/pdf}
}

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In the present study, we focus our attention on the study of the nature of temporal variations of indoor radon, which description must be adequately explained by any theory claiming to model the aforementioned radon-transport dynamics. A radon time-series was obtained through continuous monitoring (recorded every 10 minutes) of an indoor location using Alphaguard PQ 2000PRO. The frequency components of the time series are measured using Fourier transform (Discrete Fourier transform or DFT). Fourier analysis only reveals the containing frequencies of a signal without any time information, hence we also undertook time-frequency analysis using Short-Time Fourier Transform (STFT) as well as wavelet transform. 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In the present study, we focus our attention on the study of the nature of temporal variations of indoor radon, which description must be adequately explained by any theory claiming to model the aforementioned radon-transport dynamics. A radon time-series was obtained through continuous monitoring (recorded every 10 minutes) of an indoor location using Alphaguard PQ 2000PRO. The frequency components of the time series are measured using Fourier transform (Discrete Fourier transform or DFT). Fourier analysis only reveals the containing frequencies of a signal without any time information, hence we also undertook time-frequency analysis using Short-Time Fourier Transform (STFT) as well as wavelet transform. 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