Creating a row vector of noisy data.

How to create a row vector of noisy data from a normal distribution with a mean of 10.0 and a standard deviation of 2.0 to test a program:

noisyData = 10.0+ 2.0 * randn(1,100);

[per isakson]

See Smoothing an array of noisy data using two-point average.

Answer 1

[per isakson]

A naive code

noise = 2.0 * randn(1,100);
noise = noise .* (2.0./std(noise));
std( noise )
ans =
            2

a bit closer

M = 10;
S = 2;
%%
noise0 = randn(1,100);
s0 = std( noise0 );
m0 = mean( noise0 );
%%
signal = M + S*(noise0-m0)/s0;
%% 
s = std( signal );
m = mean( signal );