- What is circularly symmetric complex Gaussian?
- How do you generate a complex Gaussian random variable in Matlab?
- What is a gaussian vector?
- What is gaussian random process?
What is circularly symmetric complex Gaussian?
A complex circularly-symmetric gaussian random variable has the property that eiθz has the same probability density function for all θ. Generalizing, a complex, jointly gaussian random vector z = x + iy is circularly symmetric when the vector eiθz has the same multivariate probability density function for all θ.
How do you generate a complex Gaussian random variable in Matlab?
We have as matlab function randn generates Gaussion randome variables . x = 1/sqrt(2)*(randn(N, 1) + 1i*randn(N,1)); It can be shown that: Therefore the factor of 1/sqrt(2) is correct if one wants to generate 0-mean complex Gaussian variable with variance of 1 (std is also 1 for 0-mean randome variable).
What is a gaussian vector?
A gaussian vector is a vector such that every linear combination of its coefficients follows a gaussian distribution. If the coefficients of a vector follow a multivariate distribution, the vector should be gaussian.
What is gaussian random process?
In probability theory and statistics, a Gaussian process is a stochastic process (a collection of random variables indexed by time or space), such that every finite collection of those random variables has a multivariate normal distribution, i.e. every finite linear combination of them is normally distributed.