Should mention this is 4.3.3, 64 bit OS X 10.6.2

On Mar 30, 7:01 pm, G B <[email protected]> wrote:
> Apologies for being dense, but I'm missing something.  All three forms
> ( f(x), def f(x) and f=lambda x: ) are giving the same results.
>
> Trying:
> ---------
> var('x')
> T=RealDistribution('gaussian',1)
> def f(x):
>     return sin(x)+ T.get_random_element()
> plot(f(x),(x,0,2*pi))
> ---------
>
> and
> --------
> var('x')
> T=RealDistribution('gaussian',1)
> f=lambda x: sin(x)+ T.get_random_element()
> plot(f(x),(x,0,2*pi))
> ---------
>
> all give me a clean sine with a random offset, rather than sine
> +noise...
>
> On Mar 30, 2:30 pm, William Stein <[email protected]> wrote:
>
>
>
> > On Tue, Mar 30, 2010 at 2:21 PM, G B <[email protected]> wrote:
> > > 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.
>
> > def f(x):
> >      return sin(x) + T.get_random_element()
>
> > or
>
> >  f = lambda x : sin(x) + T.get_random_element()
>
> > William
>
> > > 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
>
> > > --
> > > To post to this group, send email to [email protected]
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>
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>
> > --
> > William Stein
> > Associate Professor of Mathematics
> > University of Washingtonhttp://wstein.org

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