非高斯随机变量的产生 Genetation of non-gaussian random variables
以高斯曲率和法向量为随机变量，将洛伦兹曲线扩展为三维，得到洛伦兹曲面。
Taking gauss curvatures and normal vectors as random variables, Lorentz Curve was extended to 3d Lorentz Surface.
峭度是随机变量非高斯性的一个经典度量。
Kurtosis is a classical measure of non-Gaussianity of random variable.
为设计一个用于信道仿真和编码器性能测试的高速高斯随机数发生器，研究了适于硬件实现的高速通用的连续随机变量和随机序列产生法。
To design a gaussian random number generator used for channel simulation and coder performance test, high-speed universal random number and correlated stochastic series generators are studied.
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