Belief propagation decoding for codes based on discretized chaotic maps

被引：1

作者：

Kozic, Slobodan ^{[1
]}

Hasler, Martin ^{[1
]}

机构：

[1] Sch Comp & Commun Sci, Swiss Fed Inst Technol, Lausanne, Switzerland

来源：

2006 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-11, PROCEEDINGS | 2006年

基金：

瑞士国家科学基金会;

关键词：

D O I：

10.1109/ISCAS.2006.1692804

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper a class of discretized piecewise linear chaotic maps of a very high dimensions are used for communication over a noisy channel. An information payload that is sent over a channel is controlled in the transmitter and is related to the symbolic sequences of chaotic trajectory. Such chaotic systems are used for generating new ensembles of nonlinear codes. The proposed decoding method is based on belief propagation principle, such that a complete link to modern coding theory is established. The transmission of information using chaotic systems, usually showing mediocre performance, here on contrary, have a very good performance with a thresh-Old for a certain level of Signal-to-Noise Ratio (SNR).

引用

页码：1191 / +

页数：2

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