基于希尔伯特诊断数据优化轴对称相函数计算问题的高斯-牛顿方法

Q4 Computer Science
E.V. Arbuzov, V.A. Arbuzov, Yu.N. Dubnishchev, O.S. Zolotukhina
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引用次数: 0

摘要

本文讨论了一种利用迭代高斯-牛顿算法重建探测光场相位扰动的方法,作为气体、凝聚态和反应介质的希尔伯特诊断发展的一部分。在这种情况下,不需要确定二阶导数,从而简化了计算。该方法由贝塞尔曲线指定的相位轮廓选择和hilbertograph计算组成。参考hilberto图与重建hilberto图的一致性作为结果可靠性的判据。得到了Hilbert可视化非线性积分算子的雅可比矩阵。利用测试函数对算法进行了分析。该方法的发展与该算法在实验结果处理中的应用有关,包括用几个贝塞尔多项式描述相函数的复杂结构的重建。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gauss-Newton Method in the Problem of Optimizing the Axisymmetric Phase Function Calculation Based on the Hilbert Diagnostic Data
A method for reconstructing phase disturbances of a probing light field using the iterative Gauss-Newton algorithm is discussed as part of the Hilbert diagnostics development of gaseous, condensed and reacting media. In this case, the need to determine second derivatives is eliminated, which simplifies the calculations. The method consists of selecting a phase profile, which is specified by a Bezier curve, and hilbertogram calculating. The coincidence of the reference and reconstructed hilbertograms serves as a criterion for the results reliability. The Jacobian matrix for the nonlinear integral operator of Hilbert visualization is obtained. The algorithm is analyzed using a test function. The method development is associated with the algorithm application to the processing of experimental results, including the reconstruction of complex structures in which the phase function is described by several Bezier polynomials.
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来源期刊
Scientific Visualization
Scientific Visualization Computer Science-Computer Vision and Pattern Recognition
CiteScore
1.30
自引率
0.00%
发文量
20
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