{"title":"结合字典编码和LFSR重播进行测试数据压缩","authors":"Xiaoyun Sun, L. Kinney, B. Vinnakota","doi":"10.1145/996566.996816","DOIUrl":null,"url":null,"abstract":"In this paper we describe a method to combine dictionary coding and partial LFSR reseeding to improve the ompression efficiency for test data compression. We also present a fast matrix calculation method which significantly reduces the computation time to find a solution for partial LFSR reseeding. Experimental results on ISCAS89 benchmark circuits show that our approach is better than either dictionary coding or LFSR reseeding, and outperforms several test data compression methods proposed recently.","PeriodicalId":115059,"journal":{"name":"Proceedings. 41st Design Automation Conference, 2004.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":"{\"title\":\"Combining dictionary coding and LFSR reseeding for test data compression\",\"authors\":\"Xiaoyun Sun, L. Kinney, B. Vinnakota\",\"doi\":\"10.1145/996566.996816\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we describe a method to combine dictionary coding and partial LFSR reseeding to improve the ompression efficiency for test data compression. We also present a fast matrix calculation method which significantly reduces the computation time to find a solution for partial LFSR reseeding. Experimental results on ISCAS89 benchmark circuits show that our approach is better than either dictionary coding or LFSR reseeding, and outperforms several test data compression methods proposed recently.\",\"PeriodicalId\":115059,\"journal\":{\"name\":\"Proceedings. 41st Design Automation Conference, 2004.\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-06-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"26\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. 41st Design Automation Conference, 2004.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/996566.996816\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. 41st Design Automation Conference, 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/996566.996816","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Combining dictionary coding and LFSR reseeding for test data compression
In this paper we describe a method to combine dictionary coding and partial LFSR reseeding to improve the ompression efficiency for test data compression. We also present a fast matrix calculation method which significantly reduces the computation time to find a solution for partial LFSR reseeding. Experimental results on ISCAS89 benchmark circuits show that our approach is better than either dictionary coding or LFSR reseeding, and outperforms several test data compression methods proposed recently.
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