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

Z. Zh. Zhanabaev, T.Yu. Grevtseva, Sayat Akhtanov

2018

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DOI 10.1109/icaict.2018.8747156
Data confidence 70 medium
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Abstract

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).