On Thu, Mar 18, 2010 at 5:19 PM, Davide Cittaro
wrote:
> Hi all,
> Is there a fast numpy way to find the peak boundaries in a (looong, millions
> of points) smoothed signal? I've found some approaches, like this:
>
> z = data[1:-1]
> l = data[:-2]
> r = data[2:]
> f = np.greater(z, l)
> f *= np.g
Hi all,
Is there a fast numpy way to find the peak boundaries in a (looong, millions of
points) smoothed signal? I've found some approaches, like this:
z = data[1:-1]
l = data[:-2]
r = data[2:]
f = np.greater(z, l)
f *= np.greater(z, r)
boundaries = np.nonzero(f)
but it is too sensitive... it d
