The intention of the work is to analyze the feasibility of using a Sigma-Delta modulator based analog-to-digital converter for true random number generation, whereas the noise source is integrated into modulator’s loop as well as design a Sigma-Del

利用C语言编程产生随机数，先产生0-1均匀分布随机数，再利用中心极限定理产生高斯分布随机数。- Using the C programming language to generate random numbers, uniformly distributed by first generating a random number 0-1, and then use the central limit theorem Gaussian random number generation.

首先产生高斯分布，然后通过变换产生泊松分布的随机数，并画出概率密度函数的直方图-First, a Gaussian distribution, and then transform Poisson distributed random number generation, and draw a histogram of the probability density function

This function generates an Additive White Gaussian Noise (AWGN) sample at every call. Its beauty lies in its simplicity! The generated sample set will have zero mean and a standard deviation of 1. Therefore, one can simply scale the output samples by