基于图像离散余弦变换(DCT)交流系数的拉普拉斯分布模型，提出了一种盲提取数字图像信息隐藏算法。
The ac coefficients of an image's Discrete Cosine Transform (DCT) are best approximated by Laplacian distribution model. Based on this model, the blind information hiding algorithm was proposed.
并在此基础上进行分析，从而用计算机模拟出了四种噪声信道中对应高斯分布和拉普拉斯分布的离散信号信息传输量。
On this basis, transinformations for discrete signals of Gauss and Laplace distribution in channels with four noise patterns are simulated.
本文构造了n维p -范分布的密度函数，使拉普拉斯分布、正态分布、均匀分布与退化分布均为一维p -范分布的特例。
In this paper, the density function of n-dimensional P-norm distribution is derived. Laplace, Normal, Rectangular and Degenerate ones are the specific case of one-dimensional P-norm distribution.
在考虑瞬态过程中动量扩散速度基础上，用拉普拉斯变换法对无限长平板突然起动瞬态动量定解方程进行了求解，并按涡量定义求出涡量分布函数。
Based on the limited momentum propagation velocity, this paper presents the solution of the transient momentum equation by Laplace transform. The distribution functions of velocity and eddy are given.
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。
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.
图像的小波系数具有很强的非高斯统计特性，可以建立推广的拉普拉斯先验分布，用贝叶斯估计对图像小波系数滤波来达到降噪目的。
The wavelet subband coefficients of images have highly non Gaussian statistics that may be modeled with generalized Laplacian distributions, and Bayesian estimation is used to suppress noise.
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.
每一个时间步长，用有限元方法解二维的拉普拉斯方程，求出箔上的电势分布。
For every time step, the two dimensional Laplace's equation is solved by a finite-element method, so the potential distribution over the foil is given.
泊松定理、隶莫佛-拉普拉斯定理给出了二项分布的近似计算公式。
Poisson theorem and De Moivre-Laplace theorem present the approximate calculation formula of binomial distribution.
首先通过更新论证的方法得到罚金折现期望满足的积分-微分方程，然后推导拉普拉斯变换的表达式，并就索赔额服从指数分布的情形得到了罚金折现期望的精确表达式。
At first, we get the integro-differential equation satisfied by the expected discounted penalty function by using the method of renewal, and hence Laplace transform of it is derived.
首先通过更新论证的方法得到罚金折现期望满足的积分-微分方程，然后推导拉普拉斯变换的表达式，并就索赔额服从指数分布的情形得到了罚金折现期望的精确表达式。
At first, we get the integro-differential equation satisfied by the expected discounted penalty function by using the method of renewal, and hence Laplace transform of it is derived.
应用推荐