How to compute a gaussian random noise with Matlab R2010a ?

How to compute a gaussian random noise with Matlab R2010a ? I saw "normrnd" for Matlab 2013 but it des not exist in Matlab 2010. Another solution?

[José-Luis]

What does "compute" mean?

[Adrien]

I mean, I want to add noise to simulated data, hence I need to create a vector of length N with gaussianly-distributed data.

Answer 1

[Iain]

If you mean generate random numbers in a gaussian distribution, whats wrong with randn()?

Answer 2

[Adrien]

As far as a see randn() is centered around 0.5 (this is not a pproblem) but is limited between 0 and 1, isn't it: it never gives any negative or >1 numbers, hence randn() seems to be a "truncated gaussian". I would like a "non-truncated" one if it exists.

[Iain]

You're looking at rand, which is top hat 0 to 1. randn is gaussian, with mean 0 and sigma of 1.

Answer 3

[Adrien]

Mea culpa I had written "rand" instead of "randn" (even if I had read "randn"), so thanks the problem seems to be solved ;)