central limit theorem

基本解釋

White noise tending to Gaussian distribution is implemented by summing uniformly distributed random numbers according to the central limit theorem.
依據(jù)中心極限定理，用均勻分佈隨機(jī)數(shù)求和的方法得到趨於高斯分佈的白噪聲。
On the basis of the central limit theorem and approximation theory, a new implementation of the Gaussian filter by cascaded triangle filters is presented.
在中心極限定理和逼近理論的基礎(chǔ)上，提出了一種用三角濾波器的級(jí)聯(lián)來實(shí)現(xiàn)高斯濾波器的新方法。
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.
討論了一類獨(dú)立非負(fù)隨機(jī)變量列部分和乘積的漸進(jìn)結(jié)搆，在一定條件下給出了一個(gè)中心極限定理。

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