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Quantization Error According to Bit Truncation Method in 4k-FFT Algorithm

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Future Information Communication Technology and Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 235))

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Abstract

In this paper, we compare a quantization error performance of FFT algorithm according to bit truncation method. 4k-FFT algorithm of OFDM is proposed and implemented in field programmable gate arrays (FPGAs). We analyze the quantization error performance according to bit truncation method. Measured results show the maximum quantization error of 6.042152/6.067595 (real/imaginary value in 12 stage MSB truncation), 3.112953/2.627594 (real/imaginary value in 12 stage LSB truncation), 0.006065/0.005448 (real/imaginary value in 6 stage LSB/6 stage MSB truncation) in 1st method. And measured results show the maximum quantization error of 0.001464/0.00129 (real/imaginary value in truncation after FFT) in 2nd method.

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References

  1. Ra SJ, Choi DJ, Hur NH, Kim CS (2012) Simulation results according to bit truncation in 4k-FFT algorithm. ICTC2012, II-5.3

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Acknowledgments

This work was supported by the IT R&D program of KCA. [10035709, Development of Next Generation Digital Cable Transmission Technology].

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Authors and Affiliations

  1. Broadcasting System Research Department, Electronics and Telecommunications Research Institute, Daejeon, Korea

    Sangjung Ra, Dongjoon Choi & Namho Hur

  2. Department of Computer Media, Hanyeong College, Yeosu, Korea

    Sangjin Ryoo

  3. Chonnam National University, Gwangju, Korea

    Cheolsung Kim

Authors
  1. Sangjung Ra
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  2. Dongjoon Choi
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  3. Namho Hur
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  4. Sangjin Ryoo
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  5. Cheolsung Kim
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Corresponding author

Correspondence to Sangjin Ryoo .

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Editors and Affiliations

  1. , Computer Engineering, Paichai University, Baejae-ro, Seo-gu 155-40, Daejeon, 302-735, Korea, Republic of (South Korea)

    Hoe-Kyung Jung

  2. , Electronic Engineering, Mokwon University, Doanbookro, Seo-Ku 88, Daejeon, 302-729, Korea, Republic of (South Korea)

    Jung Tae Kim

  3. PO Box 2434, Electrical Engineering, QUT Gardens Point, George Street 2, Brisbane, 4001, Queensland, Australia

    Tony Sahama

  4. Normal University, Graduate Institute of Information, National Kaohsiung, No.116, Heping 1st Rd., Lingya District, Kaohsiung City, 80201, Kao-hsiung, Taiwan R.O.C.

    Chung-Huang Yang

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© 2013 Springer Science+Business Media Dordrecht

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Ra, S., Choi, D., Hur, N., Ryoo, S., Kim, C. (2013). Quantization Error According to Bit Truncation Method in 4k-FFT Algorithm. In: Jung, HK., Kim, J., Sahama, T., Yang, CH. (eds) Future Information Communication Technology and Applications. Lecture Notes in Electrical Engineering, vol 235. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6516-0_8

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  • DOI: https://doi.org/10.1007/978-94-007-6516-0_8

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-6515-3

  • Online ISBN: 978-94-007-6516-0

  • eBook Packages: EngineeringEngineering (R0)

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