On Thu, Aug 27, 2015 at 12:51 AM Daniel Bliss
wrote:
Can anyone give me some advice for translating this equation into code
> using numpy?
>
> eta(t) = lim(dt -> 0) N(0, 1/sqrt(dt)),
>
> where N(a, b) is a Gaussian random variable of mean a and variance b**2.
>
> This is a heuristic definition of
Daniel Bliss wrote:
> Hi all,
>
> Can anyone give me some advice for translating this equation into code
> using numpy?
>
> eta(t) = lim(dt -> 0) N(0, 1/sqrt(dt)),
>
> where N(a, b) is a Gaussian random variable of mean a and variance b**2.
>
> This is a heuristic definition of a white noise p
Hi all,
Can anyone give me some advice for translating this equation into code
using numpy?
eta(t) = lim(dt -> 0) N(0, 1/sqrt(dt)),
where N(a, b) is a Gaussian random variable of mean a and variance b**2.
This is a heuristic definition of a white noise process.
Thanks,
Dan
