基于归一化非重叠模板匹配检验的独立随机性检验
Independent Randomness Tests based on the Orthogonalized Non-overlapping Template Matching Test
摘要：
一般来说，测试套件中包含的随机性测试不是相互独立的。这使得它很难固定一个合理的标准，通过整个测试套件与一个明确的显着性水平。在本文中，我们专注于非重叠模板匹配测试，这是一个随机性测试包括在NIST的统计测试套件。测试使用一个名为“template”的参数，我们可以为每个模板考虑一个测试项。我们通过推导两个p值的联合密度函数来研究两个测试项目之间的依赖性，并提出了一种变换，使多个测试项目相互独立。
英文摘要：
In general, randomness tests included in a test suite are not independent of each other. This renders it difficult to fix a rational criterion through the whole test suite with an explicit significance level. In this paper, we focus on the Non-overlapping Template Matching Test, which is a randomness test included in the NIST statistical test suite. The test uses a parameter called "template" and we can consider a test item for each template. We investigate dependency between two test items by deriving the joint probability density function of the two p-values and propose a transformation to make multi test items independent of each other.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
