DOA estimation algorithm based on eigenvalue decomposition is very sensitive to phase error of array signal.
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。
In order to overcome the conservation of symmetric bounds, a new method of estimation of stability bounds is presented based on eigenvalue decomposition.
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。
We propose an IED (imaginary eigenvalue decomposition) based special diction algorithm for steganalysis of JPEGbased PQ (perturbed quantization) embedding.
提出了基于虚特征分解(IED)特征、针对抖动量化(PQ)隐写术的专用隐写分析方法。
For the application of underwater acoustic systems, we present two algorithms in detail: MUSIC algorithm based on the eigenvalue decomposition and least square method.
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。
Based on the eigenvalue decomposition of the converted measurement error covariance matrix, asymptotic behavior was given about the converted position measurement error.
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。
An adaptive method applying eigenvalue decomposition-based spectrum analysis technique to narrow-band digital communication interference suppression in radar is proposed and studied.
基于特征分解谱分析技术，提出并研究了在雷达中自适应抑制窄带数字通信信号干扰的方法。
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.
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。
Eigenvalues of diagonal and triangular matrices, similarity transforms, calculation of eigenvalues from QR decomposition, iteratively estimating the leading eigenvalue.
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。
This paper introduces a polygon discretization technique into the network model decomposition method to solve waveguide eigenvalue problems.
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。
The optimal approximate solution of this inverse eigenvalue problem also was given by means of the polar decomposition of matrices.
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.
利用矩阵的极分解，导出了逆特征值问题的最佳逼近解。
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