C.-Y. Li

National Tsing Hua University, Hsin-chu-hsien, Taiwan, Taiwan

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Publications (1)1.36 Total impact

  • C.-Y. Li · Y.-H. Chen · T.-Y. Chang · L.-Y. Deng · Kiwing To ·
    [Show abstract] [Hide abstract]
    ABSTRACT: We present a new reseeding-mixing method to extend the system period length and to enhance the statistical properties of a chaos-based logistic map pseudo random number generator (PRNG). The reseeding method removes the short periods of the digitized logistic map and the mixing method extends the system period length to $2^{253}$ by “xoring” with a DX generator. When implemented in the TSMC 0.18- $mu{hbox {m}}$ 1P6M CMOS process, the new reseeding-mixing PRNG (RM-PRNG) attains the best throughput rate of 6.4 Gb/s compared with other nonlinear PRNGs. In addition, the generated random sequences pass the NIST SP 800-22 statistical tests including ratio test and U-value test.
    IEEE Transactions on Very Large Scale Integration (VLSI) Systems 03/2012; 20(2-20):385 - 389. DOI:10.1109/TVLSI.2010.2103332 · 1.36 Impact Factor

Publication Stats

21 Citations
1.36 Total Impact Points


  • 2012
    • National Tsing Hua University
      • Department of Electronic Engineering
      Hsin-chu-hsien, Taiwan, Taiwan