• The matrix decomposition method for DOA estimation is analyzed. It is proved that the method is a subspace method.

    本文对用于DOA估计的矩阵分解法进行了分析,证明了它是一种子空间方法。

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  • A method extracting multiple target feature by the eigenvalues decomposition of target echo autocorrelation matrix is presented.

    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。

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  • Square root method is one of direct methods, which is an effective method for the solution of symmetrical positive liner equations through triangle decomposition of symmetrical positive matrix.

    直接法中的平方根法,就是利用对称正定矩阵的三角分解而得到的求解对称正定方程组的一种有效方法。

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  • In this paper, by using the special structure of the covariance matrix, a fast high resolution method based on QR decomposition is presented.

    利用阵列输出协方差矩阵的特殊结构,本文提出一种基于QR分解的高分辨谱估计方法及其改进形式。

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  • Based on the method of matrix decomposition, and the Collins diffraction integral formulae, the propagation characteristics of a Gaussian beams passing through misaligned spatial filter are studied.

    采用矩阵分解的方法,从柯林斯衍射积分公式出发,对高斯光束通过失调空间滤波器的传输特性进行了分析,得到了相应的解析式。

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  • By using the method of matrix singular values decomposition, the general expressions of the least squares solutions are given.

    利用矩阵的奇异值分解和矩阵分块方法,得到了最小二乘解的一般表达式。

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  • Within the framework of the paraxial approximation the matrix decomposition and equivalent transformation of misaligned optical systems are studied in detail based on matrix method in optics.

    在傍轴近似下,采用矩阵光学方法详细研究了失调光学系统变换矩阵的分解与等效变换问题。

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  • MUSIC (MUltiple SIgnal Characterization) is a special spectral estimation method based on the eigen decomposition of the sample covariance matrix.

    多重信号分类(MUSIC)算法是通过对数据协方差矩阵进行本征分解获得信号空间谱估计的方法。

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  • This paper introduces a typical SNR estimation algorithm by the use of autocorrelation matrix singular value decomposition method.

    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。

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  • The method of analyzing the observable degree of the state variable has been introduced by means of the singular value decomposition (SVD) of the observable matrix of a dynamic system.

    介绍了基于动态系统可观测性矩阵奇异值分解的状态变量可观测度的分析方法。

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  • Through the multiresolution decomposition and compression of operator matrix and seismic wave field matrix, we proposed a new method of seismic modeling in wavelet domain.

    通过对算子矩阵和地震波场矩阵进行多分辨分解和压缩,得到了小波域中地震波场正演模拟算法。

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  • Full rank decomposition of matrix and triangular decomposition of strongly full rank can well be realized by elementary transformation method of matrix.

    通过矩阵的初等变换可实现矩阵的满秩分解和强满秩矩阵的三角分解。

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  • The Singular Value Decomposition (SVD) method for the equilibrium matrix is developed and a physical explanation is given.

    引入了平衡矩阵的奇异值分解(SVD)方法并解释了其力学含义。

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  • A universal method of data reconciliation based on classifying all process variables by matrix decomposition is proposed.

    基于矩阵分解方法对过程变量进行分类,提出了一种广泛适用的数据协调算法。

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  • This paper proposes a method to remove trends based on correlation matrix by empirical mode decomposition(EMD).

    提出一种基于相关系数矩阵判断准则的经验模态分解去除趋势项的方法。

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  • The sensitivity matrix was then decomposed by singular value decomposition (SVD) method, and the relationship between the surface geometric errors and the uncertainty parameters was formulated.

    采用矩阵的奇异值分解原理,对曲面最佳适配的灵敏度矩阵进行分解,得到不确定度参数与测点随机误差的关系表达式。

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  • The milk samples are pretreated with tiny boiling hydrochloric acid for decomposition and purification. Using the K-matrix method to calculate calcium and magnesium.

    采用盐酸煮沸分解,净化,借助于K-矩阵法同时测定了牛乳中钙和镁。

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  • The milk samples are pretreated with tiny boiling hydrochloric acid for decomposition and purification. Using the K-matrix method to calculate calcium and magnesium.

    采用盐酸煮沸分解,净化,借助于K-矩阵法同时测定了牛乳中钙和镁。

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