The unsuitable iterative number of the Regularized Orthogonal Matching Pursuit (ROMP) algorithm in the framework of Compressive Sensing (CS) may reduce the quality of image reconstruction greatly.
在压缩感知框架下运用正则化正交匹配追踪(ROMP)算法进行图像重构时，迭代次数取值不合适会严重降低重构图像的质量。
A new ERT reconstruction algorithm based on regularized general inverse method is presented. Images are reconstructed using data got from ERT simulation software.
提出一种正则化广义逆ert图像重建算法，利用ERT仿真软件得到的数据进行图像重建。
The regularized least square iterative algorithm has been presented for the estimation of material parameters of complicated structures.
本文提出了求解复杂结构弹塑性物性辨识问题的正则化最小二乘迭代反演算法。
For elevation data, a regularized interpolation for resampling and an algorithm for extracting terrain roughness and slope with landing area plane fitting are presented.
针对高程数据，给出一种规则化插补的重采样方法和基于着陆区平面拟合的粗糙度与坡度提取算法。
In this paper, a new stable band -limited signal regularized extrapolation algorithm is constructed on basis of the maximum regularization.
基于最大熵正则化构造了一种新的稳定的带限信号正则外推算法。
A wavelet based on iteration regularized image restoration algorithm is presented. Consideration is given to both the noise suppression and edge preservation.
提出一种基于小波变换的迭代正则化图象恢复算法，兼顾抑制噪声的增长和保留图象重要边界。
A wavelet based on iteration regularized image restoration algorithm is presented. Consideration is given to both the noise suppression and edge preservation.
提出一种基于小波变换的迭代正则化图象恢复算法，兼顾抑制噪声的增长和保留图象重要边界。
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