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gg_mle

于 2013-03-15 发布文件大小:7KB

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这是对广义高斯分布中两个参数alpha,beta的估计方法，对自然图像的大量统计特征就符合这一分布。(function [f, g] = dggbeta(beta, absx) DGGBETA Derivative of generalized Gaussian pdf with respective to beta [F, G] = DGGBETA(BETA, ABSX) Return partial derivative and second order partial derivative This is an utility function for GGMLE ABSX is the distance of the data from the mean Function is undefined for negative beta if beta

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这是对广义高斯分布中两个参数alpha,beta的估计方法，对自然图像的大量统计特征就符合这一分布。(function [f, g] = dggbeta(beta, absx) DGGBETA Derivative of generalized Gaussian pdf with respective to beta [F, G] = DGGBETA(BETA, ABSX) Return partial derivative and second order partial derivative This is an utility function for GGMLE ABSX is the distance of the data from the mean Function is undefined for negative beta if beta <= 0 f = NaN g = NaN )

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