{"title":"估计数字序列最小周期的自相关算法","authors":"Chen Shuai, Shu Renyi","doi":"10.1109/ICICTA.2011.526","DOIUrl":null,"url":null,"abstract":"In order to analyze sequences, the minimum periodicity of sequences may be calculated. According to the relation of the sequence with its autocorrelation, an algorithm was brought forward. The periodicity of autocorrelation is equal to the periodicity of the digital sequence. The minimum periodicity of autocorrelation sequence is the position difference between the top apex with the second apex of the unitary autocorrelation excluding direct component. The algorithm principle was introduced and applications were afforded to verify the method. The result shows that the method was right to evaluate minimum periodicity of sequences successfully. The algorithm is helpful to analyze the periodicity of digital sequence.","PeriodicalId":368130,"journal":{"name":"2011 Fourth International Conference on Intelligent Computation Technology and Automation","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Autocorrelation Algorithm to Evaluate Minimum Periodicity of Digital Sequence\",\"authors\":\"Chen Shuai, Shu Renyi\",\"doi\":\"10.1109/ICICTA.2011.526\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to analyze sequences, the minimum periodicity of sequences may be calculated. According to the relation of the sequence with its autocorrelation, an algorithm was brought forward. The periodicity of autocorrelation is equal to the periodicity of the digital sequence. The minimum periodicity of autocorrelation sequence is the position difference between the top apex with the second apex of the unitary autocorrelation excluding direct component. The algorithm principle was introduced and applications were afforded to verify the method. The result shows that the method was right to evaluate minimum periodicity of sequences successfully. The algorithm is helpful to analyze the periodicity of digital sequence.\",\"PeriodicalId\":368130,\"journal\":{\"name\":\"2011 Fourth International Conference on Intelligent Computation Technology and Automation\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-03-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Fourth International Conference on Intelligent Computation Technology and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICTA.2011.526\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Fourth International Conference on Intelligent Computation Technology and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICTA.2011.526","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Autocorrelation Algorithm to Evaluate Minimum Periodicity of Digital Sequence
In order to analyze sequences, the minimum periodicity of sequences may be calculated. According to the relation of the sequence with its autocorrelation, an algorithm was brought forward. The periodicity of autocorrelation is equal to the periodicity of the digital sequence. The minimum periodicity of autocorrelation sequence is the position difference between the top apex with the second apex of the unitary autocorrelation excluding direct component. The algorithm principle was introduced and applications were afforded to verify the method. The result shows that the method was right to evaluate minimum periodicity of sequences successfully. The algorithm is helpful to analyze the periodicity of digital sequence.