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Measurement of two-phase flow parameters and image reconstruction based on weighted SVD truncated conjugate gradient algorithm

机译:基于加权SVD截断共轭梯度算法的两相流参数测量和图像重建

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摘要

Taking into account the effect of sensitivity field and ill-posed problem in ERT, a weighted SVD truncated conjugate gradient image reconstruction algorithm (WSTCG) and its mathematical model were developed based on singular value decomposition of the sensitivity matrix theory. Simulation and experimental results show the proposed algorithm has two excellent characters of high quality and fast convergence speed compared with the LBP algorithm and CG algorithm.
机译:考虑到灵敏度场的影响和ERT中的不适定问题,基于灵敏度矩阵理论的奇异值分解,开发了加权SVD截断共轭梯度图像重建算法(WSTCG)及其数学模型。仿真和实验结果表明,与LBP算法和CG算法相比,该算法具有高质量和收敛速度快的两个特点。

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