Quantitative Determination of Masking Degree of Signals by Informational-Entropic Analysis

We have suggested a new method for quantitative determination of masking degree of signals. This method is based on results following from the information and entropy theory. Degree of masking of typical telecommunication signals by white Gaussian noise and well-known chaotic signals such as the log...

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Bibliographic Details
Main Authors: Zhanabaev, Zeinulla, Grevtseva, Tatyana, Akhtanov, Sayat
Format: Conference Proceeding
Language:English
Subjects:
Binary phase shift keying
bit error rate
degree of masking
Entropy
Frequency shift keying
Gaussian noise
information
Logistics
Quadrature amplitude modulation
Signal to noise ratio
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Summary:We have suggested a new method for quantitative determination of masking degree of signals. This method is based on results following from the information and entropy theory. Degree of masking of typical telecommunication signals by white Gaussian noise and well-known chaotic signals such as the logistic map, Henon map, and "accumulation-bursting" map has been determined by numerical experiments. Also we have defined the dependence between masking degree of keying digital signals and bit error rate (BER).
ISSN:2472-8586
DOI:10.1109/ICAICT.2018.8747156