传统的模极大值序列处理方法虽然可以保留信号特征，但降噪后的信号在奇异点有毛刺和轻微的振荡。
Although traditional processing method of modulus maximum array can retain characteristics of signal, the signal after de-noising exists thorns and slight oscillation at singularity point.
采用矩阵的奇异值分解原理，对曲面最佳适配的灵敏度矩阵进行分解，得到不确定度参数与测点随机误差的关系表达式。
The sensitivity matrix was then decomposed by singular value decomposition (SVD) method, and the relationship between the surface geometric errors and the uncertainty parameters was formulated.
对二值图像进行数学形态处理的检测结果进一步证明了该奇异点分割和检测方案的有效性。
Finally, binary morphological operations are applied to the binary image to get the detection result. The experiment results show that the new scheme is an effective means for anomalies detection.
对包含奇异点在内的几个特殊点给出了柱底面对这些点所张立体角的值，并给出了电测井积分方程系数矩阵的计算方法。
A computing method of coefficient matrix is given. For a few special points including singular points, the numerical values of solid Angle of a cylindrical bottom surface open to these special points.
对应特征点的三维重建是根据三角测量的方法计算其投影矩阵，然后用奇异值分解求出特征点的三维齐次坐标。
Feature points' 3d coordinates are computed through singular value decomposition of projector matrix, then compute projector matrix by triangulation.
对应特征点的三维重建是根据三角测量的方法计算其投影矩阵，然后用奇异值分解求出特征点的三维齐次坐标。
Feature points' 3d coordinates are computed through singular value decomposition of projector matrix, then compute projector matrix by triangulation.
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