Theoretical and Experimental Upper and Lower Bounds on the Efficiency of Convolutional Codes in a Binary Symmetric Channel

Author:

Kurmukova A. A.,Ivanov F. I.,Zyablov V. V.

Publisher

Pleiades Publishing Ltd

Subject

Computer Networks and Communications,Computer Science Applications,Information Systems

Reference28 articles.

1. Elias, P., Coding for Noisy Channels, IRE Conv. Rec., 1955, vol. 4, pp. 37⁠–⁠46. Reprinted in Key Papers in the Development of Information Theory, Slepian, D., Ed., New York: IEEE Press, 1974, pp. 102⁠–⁠111.

2. Yang, C., Zhan, M., Deng, Y., Wang, M., Luo, X.H., and Zeng, J., Error-Correcting Performance Comparison for Polar Codes, LDPC Codes and Convolutional Codes in High-Performance Wireless, in Proc. 6th Int. Conf. on Information, Cybernetics, and Computational Social Systems (ICCSS’2019), Chongqing, China, Sept. 27⁠–⁠30, 2019, P. 258⁠–⁠262. https://doi.org/10.1109/ICCSS48103.2019.9115442

3. Deng, Y., Zhan, M., Wang, M., Yang, C., Luo, X., Zeng, J., and Guo, J., Comparing Decoding Performance of LDPC Codes and Convolutional Codes for Short Packet Transmission, in Proc. IEEE 17th Int. Conf. on Industrial Informatics (INDIN’2019), Helsinki, Finland, July 22⁠–⁠25, 2019,vol. 1, pp. 1751⁠–⁠1755. https://doi.org/10.1109/INDIN41052.2019.8972062

4. Tahir, B., Schwarz, S., and Rupp, M., BER Comparison between Convolutional, Turbo, LDPC, and Polar Codes, in Proc. 24th Int. Conf. on Telecommunications (ICT’2017), Limassol, Cyprus, May 3⁠–⁠5, 2017, pp. 1⁠–⁠7. https://doi.org/10.1109/ICT.2017.7998249

5. Rurik, W. and Mazumdar, A., Hamming Codes as Error-Reducing Codes, in Proc. 2016 IEEE Information Theory Workshop (ITW’2006), Cambridge, UK, Sept. 11⁠–⁠14, 2016, pp. 404⁠–⁠408. https://doi.org/10.1109/ITW.2016.7606865

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Recognition of Convolutional Codes;PRZEGLĄD ELEKTROTECHNICZNY;2023-07-28

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3