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首页> 外文期刊>Inverse Problems: An International Journal of Inverse Problems, Inverse Methods and Computerised Inversion of Data >Wavefront reconstruction from non-modulated pyramid wavefront sensor data using a singular value type expansion
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Wavefront reconstruction from non-modulated pyramid wavefront sensor data using a singular value type expansion

机译:使用奇异值型扩展从非调制金字塔波前传感器数据重建波前重建

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摘要

The new generation of extremely large telescopes includes adaptive optics systems to correct for atmospheric blurring. In this paper, we present a new method of wavefront reconstruction from non-modulated pyramid wavefront sensor data. The approach is based on a simplified sensor model represented as the finite Hilbert transform of the incoming phase. Due to the non-compactness of the finite Hilbert transform operator the classical theory for singular systems is not applicable. Nevertheless, we can express the Moore-Penrose inverse as a singular value type expansion with weighted Chebychev polynomials.
机译:新一代极大的望远镜包括自适应光学系统,以纠正大气模糊。 在本文中,我们介绍了一种来自非调制金字塔波前传感器数据的波前重建的新方法。 该方法基于简化的传感器模型,表示为进入阶段的有限HILBERT变换。 由于有限的Hilbert变换操作员的非紧凑性,奇异系统的经典理论不适用。 尽管如此,我们可以用加权Chbychev多项式表达摩洛猪肉逆作为奇异值型扩展。

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