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ICA算法The algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The
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：极值分布在计量经济学、金融工程、计算生物学、工程测量中都有用途，一般常用最小二乘法估计
其参数，但最小二乘法的误差较高．极大似然估计具有比最4 -乘法更好的性质，但由于它的计算往往比较麻
烦．通过极大似然法估计了极值分布的参数，同时给出了求参数的数值解的算法，并通过Matlab程序实现了
这一算法．
,: Extreme value distribution in econometrics, financial engineering, computational biology, e
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OFDM系统同步中的定时估计算法，主要使用了极大似然估计法。此程序实现极大似然估计法定时的程序。-OFDM system, synchronization of timing estimation algorithm, the main use of maximum likelihood estimation method. Realize this procedure maximum likelihood estimation when the statutory procedures.
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当前论文主要考虑的是非信号依赖的高斯噪声下的图像恢复，本程序实现了泊松噪声下的图像恢复，泊松噪声为信号依赖噪声，能够更加有效逼近实际成像系统噪声。- This is the code that was used in the papers "A Nonnnegatively Constrained Convex Programming Method for Image Reconstruction", "Total Variation-Penalized Poisson Likelihood E
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在统计学中，最大后验（英文为Maximum a posteriori，缩写为MAP）估计方法根据经验数据获得对难以观察的量的点估计。它与最大似然估计中的 Fisher 方法有密切关系，但是它使用了一个增大的优化目标，这种方法将被估计量的先验分布融合到其中。所以最大后验估计可以看作是规则化（regularization）的最大似然估计。
-In statistics, the maximum a posteriori (English as a Maximum a posteriori, ab
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在重建超分辨率图像后会产生振铃现象，此论文用于优化Pocs方法-Maximum a posteriori and maximum likelihood estimation method of comparison, comparing their respective advantages
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本代码采用极大似然法对图像内容进行分类。不仅操作算法简单，而且效率也明显优于其它算法。-This code uses the maximum likelihood method to classify the image content. Not only the operating algorithm is simple, and the efficiency is significantly better than other algorithms....
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The Phase Gradient Autofocus (PGA) algorithm
has been widely used in Spotlight Synthetic Aperture
Radar (SAR) to remove motion-induced blurs in the
images. The PGA algorithm has been proven to be a superior
autofocus method. PGA assumes a nar
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我们提出一种新方法用于单幅图像的空间变化模糊识别,在图像中的每个局部小块，这个局部模糊被选择在一个候选PSFS有限集中间，用一个极大似然方法。我们打算用广义似然减少参数的数量，用广义奇异值分解限制计算值，但是要对图像做出适当的边界假设。-We present a new approach for spatially varying blur identification
using a single image. Within each local patch in the
image,
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针对两类样本所设计的贝叶斯分类器，包括已知参数和未知参数，当参数未知时，用最大似然法进行参数估计-Bias classifier is designed for two kinds of samples, including known and unknown parameters, when the parameters are unknown, the maximum likelihood method is used to estimate the parameters.
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递推的极大似然法辨识程序 用递推的极大似然法对系统辨识的参数集,-Recursive maximum likelihood method identification procedures Using recursive maximum likelihood method to set parameters of system identification,
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递推的极大似然法辨识程序 用递推的极大似然法对系统辨识的参数集,-Recursive maximum likelihood method identification procedures Using recursive maximum likelihood method to set parameters of system identification,
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递推的极大似然法辨识程序 用递推的极大似然法对系统辨识的参数集,(Recursive maximum likelihood method identification procedures Using recursive maximum likelihood method to set parameters of system identification,)
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Comparison of soft threshold and hard threshold and today various threshold calculation method, Data analysis, plotting, etc., Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
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用最大似然法求解广义gamma的参数，对广义gamma有很好的建模能力(With the maximum likelihood method for generalized gamma)
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