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Adaptive Waveform Control in a Data Transceiver for Multi-speed IEEE1394 and USB Communication

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Evolvable Systems: From Biology to Hardware (ICES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3637))

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Abstract

This paper proposes an adaptive waveform control in a data transceiver and demonstrates an adaptive transceiver LSI with a waveform controller. The LSI optimizes on-site transmission performance, with adjustments based on measurements for the whole transmission system, including cable properties. Utilizing genetic algorithm (GA), our adjustment method has achieved a transmission speed that is four times faster (1.6GHz) than current standards (400MHz) for IEEE1394.

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References

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Author information

Authors and Affiliations

  1. MIRAI, Advanced Semiconductor Research Center, AIST, Tsukuba Central 2, 1-1-1 Umezono, Tsukuba, 305-8568, Japan

    Yuji Kasai, Eiichi Takahashi, Masaya Iwata, Yosuke Iijima, Hidenori Sakanashi, Masahiro Murakawa & Tetsuya Higuchi

  2. Graduate School of Systems and Information Engineering, University of Tsukuba, 1-1-1 Tennoudai, Tsukuba, 305-8577, Japan

    Yosuke Iijima

Authors
  1. Yuji Kasai
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  2. Eiichi Takahashi
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  3. Masaya Iwata
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  4. Yosuke Iijima
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  5. Hidenori Sakanashi
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  6. Masahiro Murakawa
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  7. Tetsuya Higuchi
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Editor information

Editors and Affiliations

  1. Dept. of Electronic Engineering, Technical University of Catalunya, Campus Nord, Building C4, c/Jordi Girona 1-3, P.O. Box, 08034, Barcelona, Spain

    J. Manuel Moreno

  2. Department of Electronic Engineering, Technical University of Catalunya, Campus Nord, Building C4, c/Jordi Girona 1-3, 08034, Barcelona, Spain

    Jordi Madrenas  & Jordi Cosp  & 

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© 2005 Springer-Verlag Berlin Heidelberg

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Kasai, Y. et al. (2005). Adaptive Waveform Control in a Data Transceiver for Multi-speed IEEE1394 and USB Communication. In: Moreno, J.M., Madrenas, J., Cosp, J. (eds) Evolvable Systems: From Biology to Hardware. ICES 2005. Lecture Notes in Computer Science, vol 3637. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11549703_19

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  • DOI: https://doi.org/10.1007/11549703_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28736-0

  • Online ISBN: 978-3-540-28737-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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