Tomographic Reconstruction using Range Restricted GMRES

N. R. Jaffri, L. Shi, Usama Abrar
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引用次数: 0

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.
限制距离的GMRES层析成像重建
本文研究了用迭代法重建大型不定病态问题。不适定问题是由不适定线性系统的离散化而来。该方法广泛应用于二维断层图像的重建。在产生右侧后进行重建,可以使用任何著名的层析成像实验安排(TDLAS, ECT,超声等)。本文讨论的问题是带有误差污染的右手边问题。由于矩阵庞大且病态,该矩阵的数值解具有分数复杂度。在本研究中使用了距离限制GMRES (RRGMRES)作为正则化。利用MATLAB实现了迭代法求解逆问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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