Gaussian distributed random numbers

Sir, I need to create a 4*2 matrix in which all the elements are independent identically distributed(i.i.d) complex gaussian variables with zero mean and unit variance.how do i create it? Using randn function, mean zero and variance one will be obtained only for larger number of sets, but not for 8 values.

[Youssef Khmou]

hi, its fine, m/sigma/variance are also Random variables , try :

 for n=3:1:100

 N=(1/sqrt(2))*(randn(n,n-2)+j*randn(n,n-2));
 M(n)=mean(N(:));
 S(n)=std(N(:));
 V(n)=var(N(:));
end
figure, plot(real(M)), xlabel(' Samples'),title(' Mean');
figure, plot(V), xlabel(' Samples'),title(' Variance');

Answer 1

[Youssef Khmou]

hi Arathi,

try :

 N=(1/sqrt(2))*(randn(4,2)+j*randn(4,2));
 M=mean(N(:))
 S=std(N(:))
 V=var(N(:))

[Arathi P]

thank you sir