Hi--
I'm trying to figure out how to use RealDistributions to model noise.
For example, I would like to model a signal+noise and tried using this
construct:
T=RealDistribution('gaussian',1)
f(x)=sin(x)+T.get_random_element()
plot(f(x),(x,0,2*pi))
Unfortunately, that only calls get_random_element() once, at the
definition of f(x) and results in a perfect sinusoid offset by a
random value.
How do I write this so that get_random_element() is called each time
f(x) is evaluated? I would like to see a noisy sinusoid.
Thanks--
Greg
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