Thanks Clément.

Interested users can readily download the files if they want to test the implementation even if it has not been reviewed. Particularly, it has not been discussed if we want to stick to the Matlab's implementation and API for this particular feature. Comments are welcome.

S.

Le 17/03/2021 à 10:19, Clément David a écrit :

Hello all,

I take your question as a way to explain / remind how we validate user contributions into the Scilab source code. Any change to the source code should be pushed to the codereview.scilab.org website (this is a gerrit instant, a git server that help reviewing changes). This help testing on multiple machines/OS/compilers and review the content ; any user can comment and give +1/-1 on a change. After there is no disagreement, we merge it into the Scilab source code.

The “Cannot merge” error is an alert to the reviewer, this commit need to be rebase (refreshed) against the latest source code ; this is not a blocker for the review but rather for a one-click merge 😊.

Regards,

Clément

*From:* users <users-boun...@lists.scilab.org> *On Behalf Of *Claus Futtrup
*Sent:* Tuesday, March 16, 2021 7:40 PM
*To:* users@lists.scilab.org
*Subject:* Re: [Scilab-users] find and locate local maxima

Hi Stéphane

It looks very nice and I hope it will be added to Scilab as proposed by your code review. Why does it say in red print "Cannot Merge" ?

/Claus

On 16-03-2021 17:45, Stéphane Mottelet wrote:

    Hi

    For real life signals you should rather use something like this
    (Savitsky-Golay filters)

    https://codereview.scilab.org/#/c/21499/
    
<https://antispam.utc.fr/proxy/2/c3RlcGhhbmUubW90dGVsZXRAdXRjLmZy/codereview.scilab.org/#/c/21499/>

    S.

    Le 16/03/2021 à 17:09, CHEZE David 227480 a écrit :

        Hi Clément,

        Thank you for your quick reply and solution ! Actually it’s
        working for simple data but with noisy experimental
        timeseries, some filtering is required to get perfect regular
        signal (between the ‘true’ extrema) that could be then managed
        by the routine. I suppose this is something the Matlab/Octave
        is handling internally, with some parameters as function’s
        argument to tune it, maybe it’s not the case .

        Regards,

        David

        *De :* users <users-boun...@lists.scilab.org>
        <mailto:users-boun...@lists.scilab.org> *De la part de*
        Clément David
        *Envoyé :* mardi 16 mars 2021 16:27
        *À :* Users mailing list for Scilab <users@lists.scilab.org>
        <mailto:users@lists.scilab.org>
        *Objet :* Re: [Scilab-users] find and locate local maxima

        Hello David,

        After reading the Matlab documentation page, it seems pretty
        simple to implement using Scilab : and $ symbols:

        function[*pks*, *locs*]=_findpeaks_(*data*)

        ii = find(d(1:$-2) < d(2:$-1) & d(2:$-1) >= d(3:$));

        *pks* = *data*(ii+2);

        *locs* = ii + 2;

        endfunction

        data= [25 8 15 5 6 10 10 3 1 20 7];

        _plot_(data)

        [pks,locs]= _findpeaks_(data);

        _plot_(locs,pks, 'xr');

        Note: using oct2py and pims might also be an option for simple
        cases but these wrappers are complex to use and data need to
        be copied at language boundaries.

        Regards,

        Clément

        *From:* users <users-boun...@lists.scilab.org
        <mailto:users-boun...@lists.scilab.org>> *On Behalf Of *CHEZE
        David 227480
        *Sent:* Tuesday, March 16, 2021 2:53 PM
        *To:* Users mailing list for Scilab <users@lists.scilab.org
        <mailto:users@lists.scilab.org>>
        *Subject:* [Scilab-users] find and locate local maxima

        Hi all,

        I’m looking for function that could find and locate every
        local maxima of any discrete time signal (timeseries), similar
        to Matlab or Octave function findpeaks(), scipy find_peaks().
        Is anyone aware if something similar is already available in
        Scilab ? (I already browsed a little bit and it don’t seem so…)

        If not in Scilab macros, any hint to use the Octave or scipy
        function directly from Scilab?

        More globally it seems that Octave Forge could be linked with
        Python (from oct2py import octave

        # Load the Octage-Forge signal package.

        octave.eval("pkg load signal")), does someone ever tried to
        bridge similarly in Scilab ? oct2sci

        Kind regards,

        David



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--
    Stéphane Mottelet

    Ingénieur de recherche

    EA 4297 Transformations Intégrées de la Matière Renouvelable

    Département Génie des Procédés Industriels

    Sorbonne Universités - Université de Technologie de Compiègne

    CS 60319, 60203 Compiègne cedex

    Tel : +33(0)344234688

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--
Stéphane Mottelet
Ingénieur de recherche
EA 4297 Transformations Intégrées de la Matière Renouvelable
Département Génie des Procédés Industriels
Sorbonne Universités - Université de Technologie de Compiègne
CS 60319, 60203 Compiègne cedex
Tel : +33(0)344234688
http://www.utc.fr/~mottelet

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