2) truncated singular value decomposition
截断奇异值分解
1.
Then the truncated singular value decomposition and the .
接着,应用截断奇异值分解和L-曲线准则求解所得的高度病态的线性方程组。
2.
A new method combining the Fourier self-deconvolution(FSD),autoregressive model(AR)and truncated singular value decomposition (TSVD) forsuperresolution estimating of Fourier transform spectra is discussed.
应用傅里叶退卷积、自回归模型与截断奇异值分解相结合的方法（简称为ＦＡＴ方法），获得了比采用常规变换方法高得多的光谱分辨率。
3.
Since the inverse problem is ill-posed,the truncated singular value decomposition with the regularization parameter given by the L-curve method is employed to sovle the resulting highly ill-conditioned matrix equation.
鉴于所考虑问题的不适定性,应用截断奇异值分解和L曲线准则求解离散后得到的高度病态的线性方程组。
3) TSVD
截断奇异值分解
1.
Truncated singular value decomposition method(TSVD)was introduced to deal with the ill-posed matrix equation and L-curve method was adopted to choose regularization parameter.
应用截断奇异值分解(truncated singular value decomposition,TSVD)的正则化方法对该不适定方程组进行求解,并且采用了L曲线法对正则化参数进行选取。
2.
Methods Truncated singular value decomposition(TSVD) regularization method is applied to solving BLT inverse problem with the source permissible region as a priori knowledge,where the generalized cross-validation(GCV) method combined with the one-dimensional search method is used to determine the proper regular parameter.
方法将截断奇异值分解TSVD正则化技术用于已知光源可行区域的生物发光断层成像逆问题求解中,并利用广义交叉验证法结合一维搜索来选择合适的正则化参数。
3.
Solving the unknown parameters by using TSVD is an effective method.
利用观测矩阵的截断奇异值分解(TSVD)来解算未知参数是一种较为有效的方法。
4) 2-D TSVD
二维截断奇异值分解
1.
2-D TSVD algorithm applied in image debluring problem;
二维截断奇异值分解方法在图像恢复中的应用
5) truncated singular value decomposition(TSVD)
截断奇异值分解(TSVD)
6) truncated singular value decomposition method
截断奇异值法
补充资料：截断
截断
DNA分子的二个单链在同一位置上的断裂。区别于缺口。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条