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constrained least squares restoration中文是什么意思
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- A constrained restoration method. Let the form of the vector algebra structure of the degeneration mode be G=HF+N, where G,F and N are the vectors of (m,m)×1 dimensions, which represent the degeneration image, the ideal image and the noise separately, and H is the degeneration matrix of (m,m)×(m,m) dimensions. This method is to find an estimation F,making the criterion function J(F)=11QF11平方+α(11G-HF11平方-11N11平方) minimum, where Q is the linear operator of F, α is the Lagrange multiplier. The solution is F=(HH+γQQ) -1次方HG, where γ=1／2, In general, an iterativep rocedure is used to adjust the solution until the constrained condition 11G-HF11平方=11N11平方 is satisfied.; 一种约束复原方法。设退化模型的向量代数结构形式为G=HF+N,其中G,F和N为(m,m)×1维向量,分别代表退化图象、理想图象和噪声,H为 (m,m)×(m,m)维退化矩阵。该方法旨在寻求一个估计F,使准则函数J(F)=11QF11平方+α(11G-HF11平方-11N11平方)为最小,式中Q为F的线性算子,α为拉格朗日乘子。解得 F=(HH+γQQ) -1次方HG,其中γ=1／2。通常，迭代过程调整解直到满足约束条件11G-HF11平方=11N11平方为止。
- constrained restoration 约束复原
- least squares 线性最小二乘法; 最小平方
- constrained filtering restoration 约束滤波复原
- approximation by least squares 用最小二乘方的近似法; 最小二乘方近似法
- classical least-squares theory 经典最小平方理论
- collocation least squares 配置法平差
- criteria of least squares 最小二乘准则
- damped least squares 阻尼最小平方
- double least squares method 二重最小平方法
- generalized least squares 一般化最小平方法
- generalized least squares estimation 广义最小二乘估计
- generalized least squares estimator 一般化最小二乘推定量; 一般化最玄乘推定量
- generalized least squares method 广义最玄乘法
- indirect least squares 间接最小平方法
- inverse least squares estimate 反向最玄乘估计
- inverse least squares method 反向最玄乘方法
- iterative least squares 迭代最小平方
- iterative least squares inversion 迭代最小平方反演
- iterative least squares method 迭代最小平方法
- iterative reweighted least squares 迭代再加权最小平方
- law of least squares 最小平方律
- least squares adjustment 最小二乘法平差; 最玄乘法平差
- least squares algothm 最小二乘方程序
- least squares approximation 最小二乘逼近; 最玄乘逼近
- least squares calculation 最小二乘方计算
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Last modified time:Wed, 13 Aug 2025 00:29:56 GMT
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