{"title":"基于小波的图像编码系统故障检测算法","authors":"L. Costas, J. Rodríguez-Andina","doi":"10.1109/DSD.2005.24","DOIUrl":null,"url":null,"abstract":"This paper presents a methodology for characterizing the behaviour of wavelet-based image coding systems in the presence of faults. This is a previous step in the development of efficient concurrent error detection techniques for such systems. The faulty behaviour of complex signal processing systems is better described at the algorithmic level (i.e., checking the accomplishment of a given functional property by large blocks of data) rather than using the ''classical'' approach at the structural (i.e., building block) level. Therefore, the issues related to algorithmic fault detection are addressed. Two different platforms for error characterization are presented and their main characteristics are discussed. Experimental results are presented that prove the suitability of the proposed methodology for the target application.","PeriodicalId":119054,"journal":{"name":"8th Euromicro Conference on Digital System Design (DSD'05)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Characterization of wavelet-based image coding systems for algorithmic fault detection\",\"authors\":\"L. Costas, J. Rodríguez-Andina\",\"doi\":\"10.1109/DSD.2005.24\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a methodology for characterizing the behaviour of wavelet-based image coding systems in the presence of faults. This is a previous step in the development of efficient concurrent error detection techniques for such systems. The faulty behaviour of complex signal processing systems is better described at the algorithmic level (i.e., checking the accomplishment of a given functional property by large blocks of data) rather than using the ''classical'' approach at the structural (i.e., building block) level. Therefore, the issues related to algorithmic fault detection are addressed. Two different platforms for error characterization are presented and their main characteristics are discussed. Experimental results are presented that prove the suitability of the proposed methodology for the target application.\",\"PeriodicalId\":119054,\"journal\":{\"name\":\"8th Euromicro Conference on Digital System Design (DSD'05)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"8th Euromicro Conference on Digital System Design (DSD'05)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DSD.2005.24\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"8th Euromicro Conference on Digital System Design (DSD'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DSD.2005.24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Characterization of wavelet-based image coding systems for algorithmic fault detection
This paper presents a methodology for characterizing the behaviour of wavelet-based image coding systems in the presence of faults. This is a previous step in the development of efficient concurrent error detection techniques for such systems. The faulty behaviour of complex signal processing systems is better described at the algorithmic level (i.e., checking the accomplishment of a given functional property by large blocks of data) rather than using the ''classical'' approach at the structural (i.e., building block) level. Therefore, the issues related to algorithmic fault detection are addressed. Two different platforms for error characterization are presented and their main characteristics are discussed. Experimental results are presented that prove the suitability of the proposed methodology for the target application.