{"title":"信号固有暂态容错分析及在DSP上实现的图像处理算法","authors":"C. Lecordier, O. Ingremeau, E. Martin","doi":"10.1109/SIPS.1999.822352","DOIUrl":null,"url":null,"abstract":"We present in this article a method to analyse the intrinsic transient fault tolerance of signal and image processing algorithms for DSP applications. This method allows to protect only non-tolerant parts and consequently to decrease time and memory overheads. Results are given for an algorithm of embedded satellite image compression.","PeriodicalId":275030,"journal":{"name":"1999 IEEE Workshop on Signal Processing Systems. SiPS 99. Design and Implementation (Cat. No.99TH8461)","volume":"120 5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of the intrinsic transient fault tolerance of a signal and image processing algorithm implemented on a DSP\",\"authors\":\"C. Lecordier, O. Ingremeau, E. Martin\",\"doi\":\"10.1109/SIPS.1999.822352\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present in this article a method to analyse the intrinsic transient fault tolerance of signal and image processing algorithms for DSP applications. This method allows to protect only non-tolerant parts and consequently to decrease time and memory overheads. Results are given for an algorithm of embedded satellite image compression.\",\"PeriodicalId\":275030,\"journal\":{\"name\":\"1999 IEEE Workshop on Signal Processing Systems. SiPS 99. Design and Implementation (Cat. No.99TH8461)\",\"volume\":\"120 5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-10-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1999 IEEE Workshop on Signal Processing Systems. SiPS 99. Design and Implementation (Cat. No.99TH8461)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIPS.1999.822352\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1999 IEEE Workshop on Signal Processing Systems. SiPS 99. Design and Implementation (Cat. No.99TH8461)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIPS.1999.822352","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of the intrinsic transient fault tolerance of a signal and image processing algorithm implemented on a DSP
We present in this article a method to analyse the intrinsic transient fault tolerance of signal and image processing algorithms for DSP applications. This method allows to protect only non-tolerant parts and consequently to decrease time and memory overheads. Results are given for an algorithm of embedded satellite image compression.