本文提出了一种生成广义高斯分布(GGD)随机数的通用算法。
In this paper, a new algorithm is proposed to generate generalized Gaussian distribution (GGD).
采用输出信号的广义高斯分布近似，基于互信息最小化目标函数自适应调整均衡器的系数。
Based on method of minimizing of mutual information and approximated generalized Gaussian distribution of equalized output signal, the equalizer changes its coefficients adaptively.
比较了基于广义高斯分布近似和非线性变换(NLMIR)的两种最小互信息盲接收算法。
Minimum mutual information blind receiver that based on approximated generalized Gaussian distribution (GGMIR) and that use nonlinear transformation (NLMIR) are compared.
文章对算法进行了详细的理论分析和推导，实验结果进一步验证了用广义高斯分布描述图像小波变换系数统计特性的合理性。
The algorithm is analyzed in detail, and experiment result again shows that the distribution of image wavelet transform coefficients can be well modeled using the generalized Gaussian distribution.
文章对算法进行了详细的理论分析和推导，实验结果进一步验证了用广义高斯分布描述图像小波变换系数统计特性的合理性。
The algorithm is analyzed in detail, and experiment result again shows that the distribution of image wavelet transform coefficients can be well modeled using the generalized Gaussian distribution.
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