本文主要讨论了由给定的主子阵和两个缺损特征对构造一类特殊矩阵的问题。
This paper considers the problem of constructing a special kind of matrices from defective eigenpairs and the leading principal submatrix.
利用了估计出的用户空间特征构造协方差矩阵进行空间平滑的高分辨DOA估计。
The estimated spatial signature is adopted to construct the covariance matrix for high resolution DOA estimation.
本文构造了一个类特征函数，找寻了一个特殊矩阵，将BSS问题转化为此矩阵的特征值分解问题，解决了一类线性瞬时混合盲分离问题。 匆。
This thesis construct an characteristic-like function and find a special matrix, transforming BSS into eigenvalue decomposing problems to solve a class problem of linear mixture.
本文研究了一种基于循环移位矩阵结构的LDPC码，提出了一种高效的基于特征矩阵的LDPC码构造算法。
An LDPC code structure using cyclic shift matrices and an efficient LDPC code construction algorithm using the characteristic matrices is proposed.
该方法先将图像矩阵进行重组，根据重组的图像矩阵构造出总体散布矩阵，然后求出最佳投影向量进行特征提取。
Then, an image scatter matrix is constructed using the reshaped image matrixes and its eigenvectors are derived for image feature extraction.
构造了一个初等自反矩阵并给出了它在特征值计算中的一个应用。
An elementary reflexive matrix is proposed and its applications to matrix eigenvalue problem are presented.
本文讨论了一类由五个特征值和相应特征向量构造实对称五对角矩阵的特征值反问题。
In this paper, a kind of inverse eigenvalue problem which is the reconstruction of real symmetric five-diagonal matrix by five eigenvalues and corresponding eigenvectors is proposed.
对检测到的候选印章子图和模板印章计算FFT变换的幅度谱图像，进而构造对应于楔环结构的幅度谱特征矩阵。
The magnitude FFT feature matrixes were constructed separately for the template seal and the candidate detected seal.
近来一些研究人员提出了利用图像矩阵直接构造散布矩阵，并在此基础上进行特征抽取的方法。
But they are both based on image vector in image recognition. Recently some researchers propose new methods which are based on image matrix.
该方法首先对地球物理和地球化学等网格数据进行二维矩阵的奇异值分解，之后用左特征向量矩阵与右特征向量矩阵的直积构造一个正交完备基。
The MSVD method constructs a self-contained orthogonal basis using the outer product of left and right eigenvector matrixes decomposed from 2D geochemical or geophysical maps.
该方法首先对地球物理和地球化学等网格数据进行二维矩阵的奇异值分解，之后用左特征向量矩阵与右特征向量矩阵的直积构造一个正交完备基。
The MSVD method constructs a self-contained orthogonal basis using the outer product of left and right eigenvector matrixes decomposed from 2D geochemical or geophysical maps.
应用推荐