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Analysis on Chaotic Sequence with Biased Values for Noncoherent Chaos Communication

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oIn this paper, we analyze a chaotic dynamics generating a chaotic sequence with biased values and ap- ply it to noncoherent chaos communications. We examine a behavior of the chaotic dynamics by increasing the slope of the chaotic map and investigate the invariant measure and the correlation function. A high quality performance of noncoherent chaos communications is obtained by con- trolling the distribution of the chaotic sequence with biased values. Finally we carry out the computer simulation using its sequence and discuss the obtained results and the future problem for chaos communication. the distribution of the value having the chaotic sequence. The correlation function can examine the irregularity of the chaotic sequence. By calculating the invariant measure and the correlation function, we can detail a chaotic sequence. In this study, we analyze the chaotic map for the chaotic sequence with biased values using the invariant measure and the correlation function. Moreover, we co

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oIn this paper, we analyze a chaotic dynamics generating a chaotic sequence with biased values and ap- ply it to noncoherent chaos communications. We examine a behavior of the chaotic dynamics by increasing the slope of the chaotic map and investigate the invariant measure and the correlation function. A high quality performance of noncoherent chaos communications is obtained by con- trolling the distribution of the chaotic sequence with biased values. Finally we carry out the computer simulation using its sequence and discuss the obtained results and the future problem for chaos communication. the distribution of the value having the chaotic sequence. The correlation function can examine the irregularity of the chaotic sequence. By calculating the invariant measure and the correlation function, we can detail a chaotic sequence. In this study, we analyze the chaotic map for the chaotic sequence with biased values using the invariant measure and the correlation function. Moreover, we co

Keywords

ChaoticSynchronization of chaosSequence (biology)Invariant (physics)MathematicsMeasure (data warehouse)Function (biology)Statistical physics

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