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Research on Intelligent Estimation Model of BER for High-Speed Image Transmission Based on LVDS Interface

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Abstract

The high-speed image signal of LVDS interface is easy to be interfered by the outside world in the process of transmission, which results in packet loss and distortion of high-speed image communication, and the output error is high. Therefore, the lossless coding of high-speed image signal is needed. Intelligent estimation of bit error rate (BER) for high-speed image transmission is needed. The intelligent estimation model of high-speed image transmission bit error rate based on LVDS interface is proposed. The network structure model of high-speed image signal transmission is constructed to estimate the error code distortion of image transmission and the key frame feature extraction method is used to estimate the error rate of image transmission. The intelligent estimation of bit error rate (BER) of high-speed image transmission is realized in LVDS interface. The simulation results show that the proposed method has low bit error rate (BER) for high-speed image transmission and achieves lossless transmission of images.

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References

  1. Han, D., Chen, X., Lei, Y., et al.: Real-time data analysis system based on Spark Streaming and its application. J. Comput. Appl. 37(5), 1263–1269 (2017)

    Google Scholar 

  2. Sun, D.W., Zhang, G.Y., Zheng, W.M.: Big data stream computing, technologies and instances. J. Software 25(4), 839–862 (2014)

    Google Scholar 

  3. Hao, S.G., Zhang, L., Muhammad, G.: A union authentication protocol of cross-domain based on bilinear pairing. J. Software 8(5), 1094–1100 (2013)

    Article  Google Scholar 

  4. Hu, S., Ding, Z., Ni, Q.: Beamforming optimisation in energy harvesting cooperative full-duplex networks with self-energy recycling protocol. IET Commun. 10(7), 848–853 (2016)

    Article  Google Scholar 

  5. Seo, D.W., Lee, J.H., Lee, H.S.: Optimal coupling to achieve maximum output power in a WPT system. IEEE Trans. Power Electron. 31(6), 3994–3998 (2016)

    Article  Google Scholar 

  6. Ma, Z., Chen, W.: Friction torque calculation method of ball bearings based on rolling creepage theory. J. Mech. Eng. 53(22), 219–224 (2017)

    Article  Google Scholar 

  7. Zhou, S.B., Xu, W.X.: A novel clustering algorithm based on relative density and decision graph. Control Dec. 33(11), 1921–1930 (2018)

    MATH  Google Scholar 

  8. He, H., Tan, Y.: Automatic pattern recognition of ECG signals using entropy-based adaptive dimensionality reduction and clustering. Appl. Soft Comput. 55, 238–252 (2017)

    Article  Google Scholar 

  9. Zhu, Y., Zhu, X., Wang, J.: Time series motif discovery algorithm based on subsequence full join and maximum clique. J. Comput. Appl. 39(2), 414–420 (2019)

    Google Scholar 

  10. Dai, H., Huang, Y., Li, C., et al.: Energy-efficient resource allocation for device-to-device communication with WPT. IET Commun. 11(3), 326–334 (2017)

    Article  Google Scholar 

  11. Helmy, A., Hedayat, A., Al-Dhahir, N.: Robust weighted sum-rate maximization for the multi-stream MIMO interference channel with sparse equalization. IEEE Trans. Commun. 60(10), 3645–3659 (2015)

    Article  Google Scholar 

  12. Alfaro, V.M., Vilanoab, R.: Robust tuning of 2DoF five-parameter PID controllers for inverse response controlled processes. J. Process Control 23(4), 453–462 (2013)

    Article  Google Scholar 

  13. Zhang, R., Zhao, F.: Foggy image enhancement algorithm based on bidirectional diffusion and shock filtering. Comput. Eng. 44(10), 221–227 (2018)

    Google Scholar 

  14. Liu, D., Zhou, D., Nie, R., Hou, R.: Multi-focus image fusion based on phase congruency motivate pulse coupled neural network-based in NSCT domain. J. Comput. Appl. 38(10), 3006–3012 (2018)

    Google Scholar 

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Correspondence to Pengfei Lang .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Lang, P., Shi, Q., Xie, Z., Zheng, H., Zhao, Y. (2019). Research on Intelligent Estimation Model of BER for High-Speed Image Transmission Based on LVDS Interface. In: Gui, G., Yun, L. (eds) Advanced Hybrid Information Processing. ADHIP 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 302. Springer, Cham. https://doi.org/10.1007/978-3-030-36405-2_8

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  • DOI: https://doi.org/10.1007/978-3-030-36405-2_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-36404-5

  • Online ISBN: 978-3-030-36405-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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