Moreover,a convenient method for selecting the regularization parameter is presented by pursuiting the intersection point of fitting error curve and sparsity measure curve.
进一步,通过寻找拟合误差曲线和稀疏性度量函数曲线的交点实现了正则化参数的方便选择。
参考来源 - 基于稀疏贝叶斯学习的雷达目标成像技术Thus, a regularization method shouldbe employed. In this thesis, we choose truncated singular value decomposition (TSVD)to solve the resulting matrix equations, while the regularization parameter of TSVD isdetermined by the L-curve criterion.
因此需采用正则化方法，本文用的是截断奇异值分解(truncated singular value decomposition，简称TSVD)，其正则化参数用L-曲线准则来确定。
参考来源 - 基于测地距离的基本解方法求解非齐次各向异性热传导方程及其反问题·2,447,543篇论文数据，部分数据来源于NoteExpress
同时给出一种自适应确定正则化参数的方法。
At the same time, the method to choose regularization parameter adaptively is given.
合理选择小正则化参数或者缩小反演范围能改善反演质量。
Choosing a small regularization parameter or shortening the inversion range properly can help improve the inversion quality.
两者的有机结合可以辨证地处理正则化参数和算子的选择以及先验模型的分布计算问题。
We could dialectically give the processing about choices of regularity coefficients, operators and the calculation of distributed prior-models accor…
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