Solutions of the problem of expanding the dynamic range of spectral measurements of the parameters of low-level signals by means of artificial noising of the signals are found and evaluated.
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References
R. G. Lyons, Digital Signal Processing [Russian translation], Binon-Press, Moscow (2006).
S. Smith, Digital Signal Processing. Practical Handbook for Engineers and Scientific Workers [Russian translation], Dodeka-XXI, Moscow (2012).
A. S. Glinchenko, A. M. Alyoshechkin, and V. A. Komarov, “Increasing the reliability of spectral measurements of the parameters of signals at low signal-to-noise ratios,” Metrologiya, No. 3, 46–58 (2015).
A. S. Glinchenko, A. M. Alyoshechkin, and V. A. Komarov, “Threshold signal-to-noise ratios in spectral measurements of the parameters of signals,” Naukoem. Tekhnol., 16, No. 3, 61–65 (2015).
A. S. Glinchenko, A. M. Alyoshechkin, and O. A. Tronin, “Increasing the precision of spectral measurements of the parameters of signals at low signal-to-noise ratios,” Metrologiya, No. 1, 19–31 (2016).
A. S. Glinchenko and V. A. Komarov, “Investigatory complex of spectral weight measurements of the parameters of signals,” Izmer. Tekhn., No. 1, 51–57 (2011).
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Translated from Izmeritel’naya Tekhnika, No. 1, pp. 40–43, January, 2017.
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Glinchenko, A.S. Expanding the Dynamic Range of Digital Spectral Measurements. Meas Tech 60, 57–61 (2017). https://doi.org/10.1007/s11018-017-1149-8
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DOI: https://doi.org/10.1007/s11018-017-1149-8