{"title":"符号fsm的结构优化方法","authors":"B. Rouzeyre, G. Sagnes, G. Tarroux","doi":"10.1109/EDAC.1992.205929","DOIUrl":null,"url":null,"abstract":"The paper presents a new structural optimization method for symbolic finite state machines. It is based on the common use of outputs for generating both the next state and the output vectors. An upper bound on the number of shared outputs is given as well as the algorithm giving the best solution.<<ETX>>","PeriodicalId":285019,"journal":{"name":"[1992] Proceedings The European Conference on Design Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A structural optimization method for symbolic FSMs\",\"authors\":\"B. Rouzeyre, G. Sagnes, G. Tarroux\",\"doi\":\"10.1109/EDAC.1992.205929\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a new structural optimization method for symbolic finite state machines. It is based on the common use of outputs for generating both the next state and the output vectors. An upper bound on the number of shared outputs is given as well as the algorithm giving the best solution.<<ETX>>\",\"PeriodicalId\":285019,\"journal\":{\"name\":\"[1992] Proceedings The European Conference on Design Automation\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-03-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1992] Proceedings The European Conference on Design Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EDAC.1992.205929\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1992] Proceedings The European Conference on Design Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EDAC.1992.205929","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A structural optimization method for symbolic FSMs
The paper presents a new structural optimization method for symbolic finite state machines. It is based on the common use of outputs for generating both the next state and the output vectors. An upper bound on the number of shared outputs is given as well as the algorithm giving the best solution.<>