本文用矩阵分解法给出该反问题在正定矩阵类及正交矩阵类中的通解。
General solutions of above inverse problem in positive definite matrix and in orthogonal matrix are given here by using factorization method of matrix.
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。
The matrix decomposition method for DOA estimation is analyzed. It is proved that the method is a subspace method.
然后将其与地震子波褶积，使其求解结果与实际地震数据的最小平方问题归结为求解一大型稀疏矩阵方程，并采用奇异位分解法求解。
The least square problem of the convolution result and real seismic data can be considered as the solution of a huge rarefactional matrix equation, which can be solved by singular value decomposition.
本文使用奇异值分解法求解矩阵方程的最小二乘解。
A least squares solution via singular value decomposition is used to solve the matrix equation.
这一方法比电力系统中现用的QR分解法优越，其运算量与矩阵运算阶次均大大低于QR分解法。
The computational complexity and dimension of matrices in computation are much lower than QR Decomposition Method, which is used now in power systems for the determination of dynamic stability.
这一方法比电力系统中现用的QR分解法优越，其运算量与矩阵运算阶次均大大低于QR分解法。
The computational complexity and dimension of matrices in computation are much lower than QR Decomposition Method, which is used now in power systems for the determination of dynamic stability.
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