1) recursive generalized eigendecomposition
递归广义特征值分解
1.
A new chemical process monitoring method based on ICA theory is proposed in this paper using recursive generalized eigendecomposition (RGED).
根据独立元分析理论,提出了一种基于递归广义特征值分解的化工过程监控方法。
2) generalized eigenvalue decomposition
广义特征值分解
1.
A linear blind source separation algorithm based on generalized eigenvalue decomposition is presented.
在给出了一种基于广义特征值分解的线性混合信号盲分离方法的基础上,结合核特征空间而给出了一种非线性混合信号盲分离算法。
3) Generalized Eigenvalue Decomposition(GEVD)
广义特征值分解(GEVD)
4) generalized eigendecomposition
广义特征分解
1.
The blind source separation method based on the generalized eigendecomposition of the congruent pencils needs taking a linear transformation to obtain the sensor pencil.
基于相合束广义特征分解的盲分离算法需要对传感器信号进行线性变换以得到传感器束,目前已有的变换方法有滤波处理和时延处理,滤波方法需要根据源信号选择滤波器,滤波器选得不合适,有可能分离不出源信号;时延方法不能分离3个以上语音信号的混合。
2.
Because the performance of the blind source separation method based on generalized eigendecomposition for congruent pencils in the time domain is affected by the filter or delay,a blind source separation method based on generalized eigendecomposition for congruent pencils in the wavelet domain is proposed.
针对基于相合束广义特征分解时域盲源分离方法受滤波器或时延影响大、性能不稳定的问题,提出了一种基于相合束广义特征分解的小波域盲源分离算法。
5) generalized eigen-decomposition
广义特征分解
1.
An adaptive quasi-Newton algorithm for generalized eigen-decomposition problem
一种自适应拟牛顿广义特征分解算法
2.
The generalized eigen-decomposition plays important roles in modern adaptive signal processing applications.
广义特征分解技术在现代自适应信号处理中占有重要地位。
6) Generalized eigenvalue problem
广义特征值
1.
Parallel processing for generalized eigenvalue problem is one of the fundamental problem in computation science and engineer- ing.
广义特征值问题 AX=λBX(A，B 是 N 阶方矩阵)的并行处理是大规模科学与工程计算中的基础问题之一。
2.
Parallel computation for the nonsymmetric generalized eigenvalue problem is one of the fundamental problems in large scale engineering computation.
非对称矩阵广义特征值问题的并行计算是大规模工程计算中的基础问题之一。
3.
This paper studies a cascadic multigrid method for generalized eigenvalue problems,which utilizes the results in one kind of meshes and takes interpolation method to obtain new eigenvectors in the next meshes.
提出了一种求解广义特征值的瀑布型多重网格方法。
补充资料：广义特征值问题数值解法
见代数特征值问题数值解法。
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