为了克服对称边界的保守性，提出了一种新的基于特征值分解的边界估计方法。
In order to overcome the conservation of symmetric bounds, a new method of estimation of stability bounds is presented based on eigenvalue decomposition.
基于转换测量误差协方差矩阵的特征值分解，给出了转换位置测量的时间渐近特性。
Based on the eigenvalue decomposition of the converted measurement error covariance matrix, asymptotic behavior was given about the converted position measurement error.
针对高频地波雷达回波信号中的电离层杂波，提出了利用时频分析与特征值分解抑制杂波的方法。
To suppress ionospheric clutter in the echo signal of high frequency surface wave radar (HFSWR), a method to suppress clutter based on time-frequency analysis and eigenvalue decomposition is proposed.
本文讨论了一种基于酉变换的ESB算法，该算法通过酉变换，使得特征值分解的运算量大大降低。
We discuss a modified ESB algorithm via a unitary transformation. The algorithm has the overall computational load reduced extremely by means of a unitary transformation.
基于特征值分解的DOA估计算法对信号的相位误差非常敏感，因此有必要对阵元位置误差进行校正。
DOA estimation algorithm based on eigenvalue decomposition is very sensitive to phase error of array signal.
该算法避免了离线计算所采用的特征值分解等复杂运算，并且只利用信号的二阶统计量信息，计算工作量低。
The algorithm avoids the singular decomposition that commonly used in off-line calculation, and only the second order statistics of the signals is used, so the algorithm has low computing cost.
该算法利用信道的时间平均相关取代统计相关，结合了基于特征值分解的低秩建模，从而近似地实现MMSE估计。
This algorithm utilizes time-average channel correlation matrix in place of exact channel correlation matrix and approximates the MMSE estimator by a low-rank structure.
通过对相关矩阵进行特征值分解，估计信号子空间和噪声子空间，并利用MU S IC算法估计宽带LF M信号的波达方向。
Through estimating the signal and noise subspaces with the eigen-decomposition of the correlation matrix, the MUSIC algorithm is used to estimate the DOAs of LFM sources.
针对水下声系统的应用背景，详细介绍了两种时延估计算法：基于特征值分解的MUSIC算法和基于最小二乘法的时延估计算法。
For the application of underwater acoustic systems, we present two algorithms in detail: MUSIC algorithm based on the eigenvalue decomposition and least square method.
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.
利用协方差矩阵的特征值。能实现信号和噪声的分解。
The eigenvalue of covariance matrix can be used to separate signal from noise.
本文将多边形离散技术引入网络模型分解法中，用来求解波导特征值问题。
This paper introduces a polygon discretization technique into the network model decomposition method to solve waveguide eigenvalue problems.
对角矩阵及三角矩阵之特征值，相似矩阵，由QR分解计算特征值，主特征值之迭代估算。
Eigenvalues of diagonal and triangular matrices, similarity transforms, calculation of eigenvalues from QR decomposition, iteratively estimating the leading eigenvalue.
利用矩阵的极分解，导出了逆特征值问题的最佳逼近解。
The optimal approximate solution of this inverse eigenvalue problem also was given by means of the polar decomposition of matrices.
第二种通过右互质既约分解，给出了通解关于一组自由参量和矩阵j的特征值的显式表达式。
By utilizing some right coprime fractions, the second solution is given in an explicit form with respect to the free parameter vectors and the eigenvalues of the matrix J.
基于线性代数与矩阵理论，给出利用LDLT分解计算实对称矩阵特征值的递归算法。
A recursive algorithm for calculating the eigenvalues of a real symmetric matrix based on LDLT decomposition is given.
用同伦方法分析了可分解映射的零点存在性，并获得它对一类非线性特征值问题的应用。
Using homotopy methods, this paper gives an analysis on the existence of zeros of the decomposable mapping, and finds its application to a class of nonlinear eigenvalue problems.
讨论了矩阵乘积ab与BA的特征值、特征向量及秩等的关系，并得到了矩阵的奇异值分解。
The relationship between the eigenvalue, eigenvector and the rank of the product of matrices AB and BA is discussed, and the factorization of the singular values of matrix a is obtained.
讨论了矩阵乘积ab与BA的特征值、特征向量及秩等的关系，并得到了矩阵的奇异值分解。
The relationship between the eigenvalue, eigenvector and the rank of the product of matrices AB and BA is discussed, and the factorization of the singular values of matrix a is obtained.
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