1) image optimal projection vectors
图像最优投影矢量集
2) image optimal set of projection vectors
图像最佳投影矢量集
3) image optimal set of discriminant vectors
图像最佳鉴别矢量集
4) image effective projection vector
图像有效投影向量集
5) optimal discriminant vectors
最优鉴别矢量集
1.
An improved kernel direct discriminant analysis(IKDDA) was proposed to compute the optimal discriminant vectors for the kernel-based Fisher discriminant analysis in singular cases.
针对奇异情况下核Fisher鉴别分析中非线性最优鉴别矢量集的求解问题,提出了改进的核直接描述分析(IKDDA)。
2.
The useful discriminant information in the null space of the kernel within—class scatter matrix and in the space of the kernel within—class scatter matrix was analyzed based on the kernel Fisher criterion,and an optimal discriminant vectors was acquired based on the idea of isomorphic mapping for the discriminant feature extraction of HRRP.
通过分析核Fisher准则函数下核类内散布矩阵的零空间信息与非零空间信息对识别的贡献,基于同构映射思想,求解出一组最优鉴别矢量集,用于提取距离像的鉴别特征。
3.
Then the problem of finding the optimal discriminant vectors subjected to such constraints is solved using the property that there exist a set of conjugate ort.
然后利用广义特征方程存在共轭正交的特征向量这一结论 ,巧妙地解决了该共轭正交条件下最优鉴别矢量集的求解问题 。
6) vector projection
矢量投影
1.
With this method,we built a weighed grey correlation matrix of each survivability design scheme vs different evaluation index by grey correlation theory,and calculated grey correlation projection values of the design schemes comparatively to the perfect scheme according to vector projection t.
该方法采用灰色关联理论建立各生存力设计方案对评价指标集的加权灰色关联判断矩阵,然后利用矢量投影原理计算了各设计方案相对理想方案的灰色关联投影值,根据灰色关联投影值可以评价设计方案的优劣。
2.
A new Short Time Conflict Alert (STCA) functionality based on vector projection is brought forward in the article.
在旧有算法的基础上提出一种基于矢量投影的告警算法，该算法利用相对运动的矢量投影，有效地解决了当两架飞机加速运动时的冲突告警问题。
3.
This paper presents a new failure diagnosis method based on vector projection (VPDS) which uses least squares adaptive lattice filters and transversal filters algorithm for the key component of rotating ma-chinery-rotor /bearing system.
文中就旋转机械的转子／支承系统，针对几种典型的故障现象，利用最小二乘格网滤波器和横向滤波器算法，在时域内提出了一种基于矢量投影的故障诊断法。
补充资料：滤波反投影或卷积反投影
滤波反投影或卷积反投影
影像学术语。当代影像学设备进行影像重建的数学方法。在直接用扫描后所获得的投影轨迹剖面图反投影重建出的CT图像中，无法避免角度卷入条纹伪影(angular aliasing streaks)造成的模糊和失真。这种现象与被扫描层面的空间频率中高频信息的损失有关。使用一种精密的数学方法去除这种模糊。称为“展现”(unfolding)或去卷积(deconvolution)，即在反投影前使用一种数学的“滤器”或卷积函数对原始数据进行修正，然后再进行反投影。两步数学处理过程合称为滤波(修正后)反投影或卷积(后)反投影。这种方法的优点是处理过程简单，速度快，所得图像逼真、清晰。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条