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METHOD OF CONVERTING RANDOM NUMBERS WITH ARBITRARY DISTRIBUTION LAW TO RANDOM NUMBERS WITH UNIFORM DISTRIBUTION LAW

机译:将具有任意分布律的随机数转换为具有均匀分布律的随机数的方法

摘要

FIELD: physics; computer technology.;SUBSTANCE: present invention pertains to information security and can be used in data cryptographic protection facilities, as well as in other facilities where use of random numbers with a uniform distribution law is required. Method comprises following stages: for random numbers with arbitrary distribution law, presented in a certain radix numeration system, several least significant digits are sampled, giving a uniformly distributed sequence of random numbers. To determine the number of sampled least significant digits, the width of the carrier of the characteristic function of the random value is determined. The Nyquist frequency value is determined, beyond the limits of the characteristic function of the random value is negligible. The maximum number of least significant digits is calculated such that the number π, divided by the weight of these digits is bigger than the determined value of Nyquist frequency.;EFFECT: generation of uniformly distributed random numbers from source of random numbers with arbitrary distribution law.;2 cl, 3 dwg
机译:领域:物理学;实体:本发明涉及信息安全,并且可以用在数据密码保护设施中,以及需要使用具有统一分布规律的随机数的其他设施中。方法包括以下步骤:对于具有任意分布定律的随机数,在某个基数计算系统中显示,对几个最低有效数字进行采样,以给出均匀分布的随机数序列。为了确定采样的最低有效位的数目,确定随机值的特征函数的载体的宽度。确定奈奎斯特频率值,超出随机值的特征函数的极限可以忽略不计。计算最低有效位数的最大数量,以使数量π除以这些位数的权重大于确定的奈奎斯特频率值;效果:从具有任意分布的随机数源生成均匀分布的随机数律; 2 cl,3 dwg

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