central limit theorem

基本解释

White noise tending to Gaussian distribution is implemented by summing uniformly distributed random numbers according to the central limit theorem.
依据中心极限定理，用均匀分布随机数求和的方法得到趋于高斯分布的白噪声。
On the basis of the central limit theorem and approximation theory, a new implementation of the Gaussian filter by cascaded triangle filters is presented.
在中心极限定理和逼近理论的基础上，提出了一种用三角滤波器的级联来实现高斯滤波器的新方法。
In this paper, we consider asymptotic structure for the product of partial sums of independent random variables. Under some suitable conditions, we get a central limit theorem.
讨论了一类独立非负随机变量列部分和乘积的渐进结构，在一定条件下给出了一个中心极限定理。

the fundamental result that the sum (or mean) of independent identically distributed random variables with finite variance approaches a normally distributed random variable as their number increases, whence in particular if enough samples are repeatedly drawn from any population, the sum of the sample values can be thought of, approximately, as an outcome from a normally distributed random variable