C.-Y. Li

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

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Publications (1)1.36 Total impact

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    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.
    No preview · Article · Mar 2012 · IEEE Transactions on Very Large Scale Integration (VLSI) Systems

Publication Stats

21 Citations
1.36 Total Impact Points


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