This is the beginning of my plan. Or this is a manifesto, a motivation for me. Note what I read, good or bad, old or new, Tao or method. Maybe sometimes not care about the formal usage of the language. From the words I write down, may that someday I can comprehend the theory directly without the words.
The normal or Gaussian distribution is often denoted by $\mathcal
N(\mu,\sigma^2)$. When a random variable $X$ is distributed normally with mean
$\mu$ and variance $\sigma^2$, we write $X \sim \mathcal N(\mu,\sigma^2)$. The
formula for the distribution is
The additive complex Gaussian $\boldsymbol n = \boldsymbol n_r + j\boldsymbol n_i$ distribution is $\mathcal{CN}(0,\sigma^2).$
The real part is $\mathcal N(0,{\sigma^2}/2)$
The imaginary part is $\mathcal N(0,{\sigma^2}/2)$
Because $\boldsymbol n_r$ and $\boldsymbol n_i$ are independent random
variables, then
The Complex Gaussian Distribution,布布扣,bubuko.com
The Complex Gaussian Distribution
原文地址：http://www.cnblogs.com/xiyi2013/p/3768894.html
