首页> 外文会议>Electrical Insulation and Dielectric Phenomena, 2004. CEIDP '04 >Solution of the LIMM equation by the polynomial regularization method and the L-curve algorithm for selection of the regularization parameter
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Solution of the LIMM equation by the polynomial regularization method and the L-curve algorithm for selection of the regularization parameter

机译:多项式正则化方法和L曲线算法选择正则化参数来求解LIMM方程

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The determination of the polarization distribution by means of the laser intensity modulation method (LIMM) requires a solution of a Fredholm integral equation of the 1st kind. This is an ill-conditioned problem that can lead to multiple and very different solutions. One of the more frequently used solution methods is based upon Tikhonov regularization. Previously, a new regularization method was developed for solving the LIMM equation with an 8th degree polynomial using smoothing to achieve a stable and optimal solution. This was named the polynomial regularization method (PRM). In the current study, several simulated polarization distributions for polyvinylidene fluoride (PVDF) were selected. LIMM current versus frequency data were simulated using these distributions and Gaussian noise was added so as to emulate experimental data. The LIMM equation was solved using PRM. An algorithm based upon the L-curve method (LCM) was developed for the prediction of the optimal regularization parameter. Calculated distribution functions using PRM and LCM were in good agreement with the simulated polarization distributions.
机译:通过激光强度调制方法(LIMM)确定偏振分布需要第一类Fredholm积分方程的解。这是一个病态的问题,可能导致多种不同的解决方案。一种更常用的解决方法是基于Tikhonov正则化。以前,开发了一种新的正则化方法,用于使用平滑处理来解决具有8度多项式的LIMM方程,从而获得稳定和最佳的解决方案。这被称为多项式正则化方法(PRM)。在当前的研究中,选择了聚偏二氟乙烯(PVDF)的几种模拟偏振分布。使用这些分布模拟了LIMM电流与频率数据,并添加了高斯噪声以模拟实验数据。使用PRM求解LIMM方程。开发了一种基于L曲线方法(LCM)的算法,用于预测最佳正则化参数。使用PRM和LCM计算的分布函数与模拟的极化分布非常吻合。

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