In this paper, a new algorithm is proposed to generate generalized Gaussian distribution (GGD).
本文提出了一种生成广义高斯分布(GGD)随机数的通用算法。
Minimum mutual information blind receiver that based on approximated generalized Gaussian distribution (GGMIR) and that use nonlinear transformation (NLMIR) are compared.
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。
Based on method of minimizing of mutual information and approximated generalized Gaussian distribution of equalized output signal, the equalizer changes its coefficients adaptively.
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。
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。
There is no consensus on the distribution of the AC DCT coefficients till now. In this work, the generalized Gaussian model and the Laplacian model, which are used most widely, were studied.
针对离散余弦变换（DCT）系数分布模型类型存在的异议，研究并比较了拉普拉斯模型和广义高斯模型。
The results of the tests show that the generalized Gaussian model is better than the Laplacian model in portraying the distribution of the AC DCT coefficients.
检验结果表明，广义高斯模型比拉普拉斯模型更准确地反映了DCT交流系数的分布。
The results of the tests show that the generalized Gaussian model is better than the Laplacian model in portraying the distribution of the AC DCT coefficients.
检验结果表明，广义高斯模型比拉普拉斯模型更准确地反映了DCT交流系数的分布。
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