Evaluation of Information Indicators of Quantization Noise Generated by Speech Signal Analogue-Digital Conversion
https://doi.org/10.35596/1729-7648-2023-21-2-32-40
Abstract
The paper presents a technique for estimating the information parameters of the quantization noise generated by the analog-to-digital conversion of the measuring signal. An experiment and algorithm descriptions are presented to confirm the correctness of the method for processing and extracting the information parameters of the signal and quantization noise, in which a connecting cable is used instead of a measuring antenna. The measurement results are shown in the form of graphs of the dependences of the quantization noise extraction time by accumulation on influencing factors and controlled parameters, which demonstrate the limiting values of the extraction of information parameters of the quantization noise of the analog-to-digital conversion of the measuring signal. Confirmation of the hypothesis of estimating the information parameters of the quantization noise is obtained.
About the Authors
V. K. ZheleznyakBelarus
Dr. of Sci. (Eng.), Professor
Novopolotsk
K. J. Rahanov
Belarus
Cand of Sci., Assistant Professor at the Department of Computing Systems and Networks
Novopolotsk
Y. R. Adamovskiy
Belarus
Adamovskiy Yahor Ruslanavich, Master’s Student, Postgraduate at the Department of Computing Systems and Networks
211440, Novopolotsk, Blokhina St., 29
Tel.: +375 33 387-46-89
References
1. Rakhanov K. Ya., Rakhanova N. A. (2021) Ensuring the Information Confidentiality on the Internet. Novopolotsk, Polotsk State University Publ. 192 (in Russian).
2. Zheleznyak V. K. (2006) Protecting Information from Leaks Through Technical Channels. Saint Petersburg, Saint Petersburg State University of Aerospace Instrumentation Publ. 188 (in Russian).
3. Zheleznyak V., Rakhanov K., Lavrov S., Adamovskiy Y., Kharchenko S., Filippovich A., Baranovsky M. (2022) Analysis of the Uniform Quantization Error of a Triangular Periodic Pulse Sequence in the Spectral Domain. Problemy Infokommunikacij = Infocommunication Problems. 15 (1), 39–45 (in Russian).
4. Zheleznjak V. K., Lavrov S. V., Baranouski M. M., Filipovich A. G. (2020) Mathematical Model of Speech Signal Leakage Channels During Discrete-Quantified Conversion. Doklady BGUIR = BSUIR Reports. 18 (4), 89–95. http://dx.doi.org/10.35596/1729-7648-2020-18-4-89-95 (in Russian).
5. Zheleznyak V. K., Rakhanov K. Ya., Burachenok I. B. (2015) Estimation oF Legibility of the Speech by Mutual Signal Correlation of Linear Frequency Modulation in Channels of Information Leakage. Vestnik Polotskogo Gosudarstvennogo Universiteta. Seriya C, Fundamental’nye Nauki = Herald of Polotsk State University. Series С. Fundamental Sciences. (12), 22–27 (in Russian).
6. Rakhanov K. Ya. (2012) Synthesis of Software and Hardware Systems Speech Estimation by LFM-Signal: Experimental Results. Vestnik Polotskogo Gosudarstvennogo Universiteta. Seriya C. Fundamental’nye Nauki = Herald of Polotsk State University. Series С, Fundamental Sciences. (12), 20–26 (in Russian).
Review
For citations:
Zheleznyak V.K., Rahanov K.J., Adamovskiy Y.R. Evaluation of Information Indicators of Quantization Noise Generated by Speech Signal Analogue-Digital Conversion. Doklady BGUIR. 2023;21(2):32-40. (In Russ.) https://doi.org/10.35596/1729-7648-2023-21-2-32-40