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.
研制的最小平方共轭梯度算法和奇异值分解法也可进行同样的层析反演。
The least square conjugate gradient and odd values decomposition method also can be used to perform tomographic inversion.
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.
但盲估计算法，如子空间分解法等，需要较大的样本值，收敛速率慢，不利于实时信道估计。
But the blind estimation algorithm, for example, the sub-space decomposition, is not good for real time estimation because it requires large received signals, and has low estimation convergence rate.
但盲估计算法，如子空间分解法等，需要较大的样本值，收敛速率慢，不利于实时信道估计。
But the blind estimation algorithm, for example, the sub-space decomposition, is not good for real time estimation because it requires large received signals, and has low estimation convergence rate.
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