第二章给出了相关矩阵的定义及基本关系式。
并推导了两个二端口网络的级联和并联后的噪声相关矩阵。
The noise correlation matrixes of two linked two-port networks were also gotten from basic definitions.
为了达到高分辨率而采用高阶相关矩阵，谱估计的运算量十分大。
In order to yield high resolution, the high-order autocorrelation matrix is used, the number of the operations for the estimation of frequency and power is tremendous.
还分析了各个载荷矩阵之间的相位关系，得到了相应的相关矩阵。
The phase relation between load matrixes is also analyzed and the correlation matrixes are gained.
提出了基于目标回波自相关矩阵本征值分解提取多目标特征的新方法。
A method extracting multiple target feature by the eigenvalues decomposition of target echo autocorrelation matrix is presented.
此法大大地提高了有效的信噪比(SNR)和自相关矩阵的估计精度。
The effective signal-to-noise ratio (SNR) and the accuracy of autocorrelation estimation are significantly improved through use of this method.
同时，在信号自相关矩阵条件数不好时，该算法仍然可以进行信号的谱估计。
With bad matrix condition number, the proposed algorithm can also be used for the spectral estimation.
提出了一种新的基于相关矩阵对角化的代价函数作为衡量输出信号独立性的测度。
A new cost function based on the diagonalization of correlation matrices is proposed to measure the independency of output signals.
本文提出一种基于相关矩阵列矢量平均的信道估计算法，该算法不需要特征分解或跟踪。
A new method based on column vector average of the autocorrelation matrix without eigendecomposition is presented to estimate the channel vector.
假设信号是近似正态分布的，就可以从相关矩阵的行列式计算出每个波段的条件信息量。
If signals are supposed to be normally distributed, then by computing determinants of correlation matrices, conditional information of each channel signal can be obtained.
提出了采用误差相关矩阵对三站和多站交会定位误差评估方法，分析了该方法的实际应用。
Based on error correlative matrix, the evaluation method of the cross locating error of three stations and multi-stations is presented in this paper. And its application is introduced.
分析了用协方差矩阵和自相关矩阵得出的PCA表达是不同的，但是两者的误差是相同的。
We analyses the different result of PCA by using autocorrelation matrix and covariance matrix, and point out that the express of PCA is different but the error are the same.
在本文的模型估计部分，依据样本数据相关矩阵分析结果，采用了样本主成分分析的方法。
In this paper, based on the correlation matrix analysis of sample data, a principal component analysis method is used.
聚类分析直接利用相似矩阵或相关矩阵来分类，但它们本身存在矛盾，分类时也会出现矛盾。
In the cluster analysis, the correlation matrix or the similarity matrix is directly used to make classification, but there is contradiction in itself, and paradox also occurs in the classification.
相关矩阵及聚类分析表明，煤炭中微量元素与基质元素之间、微量元素之间有着密切的依存性。
Correlation matrix and cluster analysis showed that the trace and major elements, trace and trace elements in coal are closely related.
主要介绍了一种典型的信噪比估计算法，并对信噪比的自相关矩阵奇异值分解估计法进行了研究。
This paper introduces a typical SNR estimation algorithm by the use of autocorrelation matrix singular value decomposition method.
该方法基于传播算子思想，直接利用阵列接收信号估计噪声相关矩阵，得到一种快速TCT聚焦矩阵。
Based on the propagator method, noise correlation matrix is constructed by array signals and a fast TCT focusing matrix is developed.
在保持了该算法快速收敛优点的同时，利用相关矩阵块三对角的特殊结构，降低了该算法的计算复杂度。
This new method reduces the computational complexity by using the block tridiagonal structure of the input sample correlation matrix, and at the same time keeps the property of fast convergence.
使用一种修改的ULV更新算法进行噪声子空间跟踪，该算法不需要相关矩阵的秩估计，直接估计噪声子空间。
A modified ULV updating algorithm. is applied to performing noise subspace tracking. The algorithm does not require rank estimation of the correlation matrix, and estimate directly the noise subspace.
变换域LMS算法能通过正交变换有效降低输入信号自相关矩阵特征值的分散程度，可提高算法的收敛速度；
The transform domain LMS algorithm can reduce the cross-correlation of input signals effectively through orthogonal transforms, so the convergence rate will be improved;
与传统解码的算法不同，该算法无需在发送端进行信道相关矩阵的估计和预编码，降低了发送端的编码复杂度。
Compared to the traditional decoding algorithms, the proposed scheme is no need to estimate the correlation matrix of the channel and pre-code at the transmitter, and its coding complexity is reduced.
在研究线性滤波lms算法的收敛条件及推导其稳态相对误差的上下限算式时，都用到自相关矩阵的特征值的表达式。
Several eigenvalue expressions are encountered in studying the convergence condition and the lower and upper limit formula of the LMS algorithm which is used in the adaptive filter design.
针对直接序列扩频信号工作中信噪比较低的特点，提出了一种通过求解接收信号相关矩阵的特征值来估计信号信噪比的方法。
In consideration of the low signal-noise-ratio (SNR) of DSSS signals, a method of estimating the SNR was given by resolving the eigenvalue of the received signal correlation matrix.
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.
与已有线性最小均方差(LMMSE)信道估计方法相比，该算法简单并且不需要预先知道信道相关矩阵以及信噪比等信道信息。
Comparing with the Linear Minimum Mean Square Error (LMMSE) channel estimation method, the method is simple and need not know the channel correlation and signal-to-noise (SNR).
本文分析了机载雷达相位中心偏移天线(DPCA)系统的杂波相关矩阵，讨论了系统的最佳改善因数以及系统参数对性能的影响。
This paper presents analyses of the clutter correlation matrix, optimal improvement factor and effects of parameters of an airborne radar displaced phase center antenna (DPCA) system.
本文分析了机载雷达相位中心偏移天线(DPCA)系统的杂波相关矩阵，讨论了系统的最佳改善因数以及系统参数对性能的影响。
This paper presents analyses of the clutter correlation matrix, optimal improvement factor and effects of parameters of an airborne radar displaced phase center antenna (DPCA) system.
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