[Numpy-discussion] peak finding approach
josef.pktd@gmai...
josef.pktd@gmai...
Thu Mar 18 17:06:31 CDT 2010
On Thu, Mar 18, 2010 at 5:19 PM, Davide Cittaro
<davide.cittaro@ifom-ieo-campus.it> 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.greater(z, r)
> boundaries = np.nonzero(f)
>
> but it is too sensitive... it detects any small variations in slope on the shoulders of a bigger peak...
> Any hint?
to find peaks something like the following works
np.nonzero(data == maximumfilter data, larger window size)
where maximum filter is in scipy.signal or ndimage
I'm not sure about boundaries, maybe the same with minimum filter
Josef
>
> thanks
>
> d
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