The inherent positioning error of D R algorithm is studied.
文中主要讨论D- R算法本身固有的定位误差。
In passive millimeter wave image restoration, L-R algorithm is a simple and effective nonlinear method.
在被动毫米波的图像恢复中，L - R算法是一种简单而有效的非线性方法。
However, when the noise can not be neglected, it is difficult for L-R algorithm to get good restoration.
但当噪声不可忽略时，L - R算法难以获得较好的复原结果。
S-R algorithm has the advantage of accurate estimation of FPN, fast convergence rate and low computational complexity.
算法具有噪声参数估计精度高、收敛速度快和计算复杂度低等优点。
The R-D-R algorithm was here modified significantly to make it apply to airborne and space-borne SAR imaging in squint mode.
本文对该算法进行了修正，使该算法适用于斜视模式的机载和星载SAR成像。
The modified algorithm reduces the influence of noise on L-R algorithm effectively by using de-noise algorithm based on adaptive sparse representation.
这种改进算法通过使用基于自适应稀疏表示的去噪算法有效地减少了噪声对L-R算法的影响。
The modified algorithm reduces the influence of noise on L-R algorithm effectively by using de-noise algorithm based on adaptive sparse representation.
这种改进算法通过使用基于自适应稀疏表示的去噪算法有效地减少了噪声对L-R算法的影响。
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