{"title":"限制距离的GMRES层析成像重建","authors":"N. R. Jaffri, L. Shi, Usama Abrar","doi":"10.1145/3406971.3409042","DOIUrl":null,"url":null,"abstract":"This paper is concerned with the reconstruction of large ill determined and ill-posed problem using the iterative method. The ill-posed problems ascend from the discretization of ill-posed linear systems. The technique used in this work widely applicable to reconstruct the two-dimensional tomographic image. Reconstruction achieved after producing a right-hand side that can be done using any of the famous tomographic experimental arrangements (TDLAS, ECT, ultrasound, etc.). The problem discussed in this paper is with error contaminated right-hand side. The numerical solution of this matrix is fractionally complicated as the matrix is vast and ill-conditioned. Range-restricted GMRES (RRGMRES) used as regularization in this work. The iteration method is implemented using MATLAB to compute the inverse problem.","PeriodicalId":111905,"journal":{"name":"Proceedings of the 4th International Conference on Graphics and Signal Processing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Tomographic Reconstruction using Range Restricted GMRES\",\"authors\":\"N. R. Jaffri, L. Shi, Usama Abrar\",\"doi\":\"10.1145/3406971.3409042\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper is concerned with the reconstruction of large ill determined and ill-posed problem using the iterative method. The ill-posed problems ascend from the discretization of ill-posed linear systems. The technique used in this work widely applicable to reconstruct the two-dimensional tomographic image. Reconstruction achieved after producing a right-hand side that can be done using any of the famous tomographic experimental arrangements (TDLAS, ECT, ultrasound, etc.). The problem discussed in this paper is with error contaminated right-hand side. The numerical solution of this matrix is fractionally complicated as the matrix is vast and ill-conditioned. Range-restricted GMRES (RRGMRES) used as regularization in this work. The iteration method is implemented using MATLAB to compute the inverse problem.\",\"PeriodicalId\":111905,\"journal\":{\"name\":\"Proceedings of the 4th International Conference on Graphics and Signal Processing\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 4th International Conference on Graphics and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3406971.3409042\",\"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 of the 4th International Conference on Graphics and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3406971.3409042","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Tomographic Reconstruction using Range Restricted GMRES
This paper is concerned with the reconstruction of large ill determined and ill-posed problem using the iterative method. The ill-posed problems ascend from the discretization of ill-posed linear systems. The technique used in this work widely applicable to reconstruct the two-dimensional tomographic image. Reconstruction achieved after producing a right-hand side that can be done using any of the famous tomographic experimental arrangements (TDLAS, ECT, ultrasound, etc.). The problem discussed in this paper is with error contaminated right-hand side. The numerical solution of this matrix is fractionally complicated as the matrix is vast and ill-conditioned. Range-restricted GMRES (RRGMRES) used as regularization in this work. The iteration method is implemented using MATLAB to compute the inverse problem.