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首页> 外文期刊>International journal for numerical methods in biomedical engineering >Iterative sine-convolution method for solving planar D-bar equation with application to EIT
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Iterative sine-convolution method for solving planar D-bar equation with application to EIT

机译:求解平面D-bar方程的正弦迭代法及其在EIT中的应用

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摘要

The numerical solution of D-bar integral equations is the key in inverse scattering solution of many complex problems in science and engineering including conductivity imaging. Recently, a couple of methodologies were considered for the numerical solution of D-bar integral equation, namely product integrals and multigrid. The first one involves high computational complexity and other one has low convergence rate disadvantages. In this paper, a new and efficient sine-convolution algorithm is introduced to solve the two-dimensional D-bar integral equation to overcome both of these disadvantages and to resolve the singularity problem not tackled before effectively. The method of sine-convolution is based on using collocation to replace multidimensional convolution-form integrals- including the two-dimensional D-bar integral equations - by a system of algebraic equations. Separation of variables in the proposed method allows elimination of the formulation of the huge full matrices and therefore reduces the computational complexity drastically. In addition, the sine-convolution method converges exponentially with a convergence rate of O(e~(1/2)~N~(-C)). Simulation results on solving a test electrical impedance tomography problem confirm the efficiency of the proposed sinc-convolution-based algorithm.
机译:D-bar积分方程的数值解是科学和工程学(包括电导率成像)中许多复杂问题的逆散射解的关键。最近,人们考虑了D-bar积分方程数值解的两种方法,即乘积积分和多重网格。第一个涉及较高的计算复杂度,而另一个则具有较低的收敛速度缺点。本文提出了一种新的高效的正弦卷积算法,以解决二维D-bar积分方程,克服了这两个缺点,有效地解决了以前未解决的奇异性问题。正弦卷积的方法是基于使用代数方程组,通过搭配替换多维卷积形式的积分(包括二维D-bar积分方程)。所提出的方法中的变量分离允许消除庞大的完整矩阵的公式,因此大大降低了计算复杂度。另外,正弦卷积方法的收敛速度为O(e〜(1/2)〜N〜(-C))。解决测试电阻抗层析成像问题的仿真结果证实了所提出的基于正弦卷积的算法的有效性。

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