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Interleaver Design Method for Turbo Codes Based on Genetic Algorithm

Wuhan University Journal of Natural Sciences 2004年第3期9卷 323-326页

作者： TanYing SunHong zhouhuai-bei SchoolofElectronicInformation WuhanUniversityWuhan430072HubeiChina AdvancedResearchCenterforScienceandTechnology WuhanUniversityWuhan430072HubeiChina

This paper describes a new interleaver construction technique for turbo code. The technique searches as much as possible pseudo-random interleaving patterns under a certain condition using genetic algorithms(GAs). The new interleavers have the superiority of the S-random interleavers and this interleaver construction technique can reduce the time taken to generate pseudo-random interleaving patterns under a certain condition. The results obtained indicate that the new interleavers yield an equal to or better performance than the S-random interleavers. Compared to the S-random interleaver, this design requires a lower level of computational complexity. Key words interleaver - Turbo codes - genetic algorithm CLC number TN 911. 22 Foundation item: Supported by the National Natural Science Foundation of China (60372057) and the Key Open Laboratory on Information Science and Engineering of Railway Transportation Ministry of beijing Jiaotong University of China (KLISAE-0103)Biography: Tan Ying (1963-), female, Associate professor, Ph. D, research direction: error control coding, analysis and design of wireless communication system.

关键词： interleaver Turbo codes genetic algorithm

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Respective Roles of Short-and Long-Range Interactions in Protein Folding

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Wuhan University Journal of Natural Sciences 2004年第6期9卷 962-966页

作者： WANGLong-hui HUMin zhouhuai-bei LIUJuan SchoolofComputerScience WuhanUniversityWuhan430072HubeiChina WuhanUniversityJournalsPress WuhanUniversityWuhan430072HubeiChina

A new method was presented to discuss the respective roles of short- and long-range interactions in protein folding. It's based on an off-lattice model, which is also being called as toy model. Simulated annealing algorithm was used to search its native conformation. When it is applied to analysis proteins 1agt and 1aho, we find that helical segment cannot fold into native conformation without the influence of long-range interactions. That's to say that long-range interactions are the main determinants in protein folding. Key words toy model - protein folding - simulated annealing algorithm - short and long range interactions CLC number O 242.28 - Q71 Foundation item: Supported by the National Natural Science Foundation of China((60301009)Biography: WANG Long-hui (1976-), female, Ph. D candidate, research direction: machine learning, bioinformatics.

关键词： toy model protein folding simulated annealing algorithm short and long range interactions

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