Quantitative Determination of Masking Degree of Signals by Informational-Entropic Analysis
| Autor: | S.N. Akhtanov, Z. Zh. Zhanabaev, Tatyana Grevtseva |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer science
Chaotic 020206 networking & telecommunications Keying 02 engineering and technology 01 natural sciences Quantitative determination Hénon map symbols.namesake Additive white Gaussian noise 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Bit error rate symbols Entropy (information theory) Logistic map 010301 acoustics Algorithm |
| Zdroj: | 2018 IEEE 12th International Conference on Application of Information and Communication Technologies (AICT). |
| DOI: | 10.1109/icaict.2018.8747156 |
| Popis: | 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). |
| Databáze: | OpenAIRE |
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