标题： 基于斜率测量的相位重建中傅里叶方法和矢量矩阵乘法方法的性能分析 显示英文标题

标题： Performance analysis of Fourier and Vector Matrix Multiply methods for phase reconstruction from slope measurements

摘要： 从离散斜率测量重建波前的精度取决于采样几何结构、入射波前的相干长度、波前传感器规范以及重建算法的准确性。 进行了蒙特卡罗模拟，并根据这些实验和计算参数比较了傅里叶和矢量矩阵乘积（VMM）重建方法。 观察到虽然当波前的相干长度大于波前传感器对应的周期时，傅里叶重建提供了一致的准确性，但在相干长度与波前传感器周期紧密匹配时，VMM 方法提供了更好的准确性。 显示英文摘要

摘要： The accuracy of wavefront reconstruction from discrete slope measurements depends on the sampling geometry, coherence length of the incoming wavefronts, wavefront sensor specifications and the accuracy of the reconstruction algorithm. Monte Carlo simulations were performed and a comparison of Fourier and Vector Matrix Multiply reconstruction methods was made with respect to these experimental and computational parameters. It was observed that although Fourier reconstruction gave consistent accuracy when coherence length of wavefronts is larger than the corresponding pitch on the wavefront sensor, VMM method gives even better accuracy when the coherence length closely matches with the wavefront sensor pitch.