{"title":"A High-Speed and Long-Period Combined Pseudo-random Number Generator","authors":"Hai-Wei Shen, Jin-ping Li","doi":"10.1109/ISCID.2009.35","DOIUrl":null,"url":null,"abstract":"Period, relativity, distribution characteristics, computing time are usually used to evaluate the performance of pseudo-random number generators. Combination is a staple method to extend the period of random number generators, and the period will be longer if combined more generators. But, existing combined pseudo-random number generators will increase computing time when more random number sequences are combined. This article presented a new combination schema, which will not increase computing time no matter how many sequence is combined. Based on this schema, random number sequence can be generated at a high speed, and period can be extended optionally, this is meaningful to all situations using pseudo-random sequence. Additionally, the article proved the combined pseudo-random number generators can access statistic test of relativity and distribution characteristics.","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposium on Computational Intelligence and Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCID.2009.35","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Period, relativity, distribution characteristics, computing time are usually used to evaluate the performance of pseudo-random number generators. Combination is a staple method to extend the period of random number generators, and the period will be longer if combined more generators. But, existing combined pseudo-random number generators will increase computing time when more random number sequences are combined. This article presented a new combination schema, which will not increase computing time no matter how many sequence is combined. Based on this schema, random number sequence can be generated at a high speed, and period can be extended optionally, this is meaningful to all situations using pseudo-random sequence. Additionally, the article proved the combined pseudo-random number generators can access statistic test of relativity and distribution characteristics.