{"title":"A LFSR Reseeding Scheme Based on Division by 2 to the Power of Integer","authors":"Wenfa Zhan, Jun Ma, Shanshan Du, Jun Liu","doi":"10.4156/JDCTA.VOL4.ISSUE9.11","DOIUrl":null,"url":null,"abstract":"As the number of specified bits of different test patterns varies widely in a deterministic test cube, all test patterns are concatenated to a data flow. The original test data can be re-divided by 2 to the power of integer according to the successful characteristics of the LFSR coding, whose length equals to the power of 2 in every division. In the new test approach, the numbers of specific bits in the new test vectors are very close. Hence the encoding efficiency can be enhanced in the process of LFSR. And experimental results show that the compression ratio of this scheme can improve 2.32 % than that of hybrid coding. Compared with the previous schemes, the proposed scheme can increase the encoding efficiency with simple decompression structure and less area overhead.","PeriodicalId":293875,"journal":{"name":"J. Digit. Content Technol. its Appl.","volume":"89 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Digit. Content Technol. its Appl.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4156/JDCTA.VOL4.ISSUE9.11","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
As the number of specified bits of different test patterns varies widely in a deterministic test cube, all test patterns are concatenated to a data flow. The original test data can be re-divided by 2 to the power of integer according to the successful characteristics of the LFSR coding, whose length equals to the power of 2 in every division. In the new test approach, the numbers of specific bits in the new test vectors are very close. Hence the encoding efficiency can be enhanced in the process of LFSR. And experimental results show that the compression ratio of this scheme can improve 2.32 % than that of hybrid coding. Compared with the previous schemes, the proposed scheme can increase the encoding efficiency with simple decompression structure and less area overhead.