A Network Anti-Interference Method Based on Multi-State Hidden Layers' Distribution with Iterations

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This paper puts forward a network anti-interference method based on multi-state hidden layers' distribution with iterations. It first calculates the distribution characteristics of multi-state data, and analyzes the law of network data; secondly, statistically analyzes the distribution of multi-state hidden layers, introduces constant iterations and update, and extracts system noise characteristics; then separates noise and network data, so as to implement anti-interference; finally carries out experiments with a set of test data in the actual network, and the results show that under strong interference, network anti-interference method based on multi-state hidden layers' distribution with iterations effectively reduces the network error rate, basically does not affect the normal communication, and has a good application value.

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1664-1667

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February 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] PuChenLan, lee for phase, Lin Jinguo. A kind of chaotic synchronization system and its application in secure networks [J]. BULLETIN OF SCIENCE AND TECHNOLOGY, 2006, 22 (6) : 841-844.

Google Scholar

[2] Lu Huibin Li Lixiang, Peng Haipeng, et al. Hyperchaos M - G system parameter identification and its application in the network [J]. Journal of electronics, 2002, 30 (2) : 289-291.

Google Scholar

[3] Williams W J, Jeong J. New time-frequency distribution: Theory and applications. In: Proc. IEEE ICASSP-89, 1989: 1243-1247.

Google Scholar

[4] Choi H I, Williams W J. Improved time-frequency representation of multi-component signals using exponential kernels. IEEE Trans. Acoust., Speech, signal Processing, 1989, 37: 862~871.

DOI: 10.1109/assp.1989.28057

Google Scholar

[5] Auger F, Flandrin P. Improving the readability of time-frequency and time-scale representations by the reassignment method. IEEE Trans. Signal Processing, 1995, 43, 1068-1089.

DOI: 10.1109/78.382394

Google Scholar