Mahmut Ciftci

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Many previously proposed communications systems based on chaos disregard common channel distortions and fail to work under realistic channel conditions. In this paper, optimal estimation and sequential channel equalization algorithms are proposed for chaotic communications systems where information is encoded using symbolic dynamics representations. For the(More)
In recent years, a variety of communications systems based on chaos and nonlinear dynamics have been proposed. However, most of these algorithms fail to work under realistic channel conditions. This paper presents a channel equalization scheme for chaotic communication systems based on a family of archetypal chaotic maps. The symbolic-dynamic representation(More)
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