True Random Number Generation Via Sampling From Flat Band-Limited Gaussian Processes
True Random Number Generation Via Sampling From Flat Band-Limited Gaussian Processes
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DOI：
10.1109/tcsi.2010.2089561
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发表时间：
2011-05-01
影响因子：
5.1
通讯作者：
Ergun, Salih
中科院分区：
文献类型：
--
作者：
Gov, Necmettin Caner;Mihcak, Mehmet Kivanc;Ergun, Salih
我们考虑一个真正的随机数发生器的基础上定期采样的阈值广义平稳高斯噪声源的功率谱密度被假定为平坦的两个已知的频率和零无处不在。我们采用每个样本的联合熵的比特序列作为主要的数字的优点，并提出新的分析结果的采样周期的最佳选择，确保最大的随机性的结果与数值结果。此外，我们提供了新的结果，从噪声源的自相关函数，并引入了一个新的相关度量，称为“频谱相关性”来量化生成的比特之间的成对依赖。
We consider a true random number generator based on regularly sampling a thresholded wide sense stationary Gaussian noise source of which power spectral density is assumed to be flat between two known frequencies and zero everywhere else. We employ per-sample joint entropy of the resulting bit sequence as the main figure of merit and present novel analytical results on the optimum choice of the sampling period that ensures maximal randomness of the resulting bit sequence together with numerical results. In addition, we provide new results that follow from autocorrelation function of the noise source and introduce a new related metric, termed "spectral correlation" to quantify the pairwise dependence among the generated bits.