Hi,
Great to hear that these new features (thanks to Serge Steer) were
usefull for you.
S.
Le 11/05/2021 à 18:00, CHEZE David 227480 a écrit :
Dear all,
I used this new feature, set of sgolayfilter functions, to filter my
experimental data (several days records , ) without attenuating the
signal level, very practical and straightforward use. Then, applying
findpeaks() (introduced below ) worked like a charm to draw figures
like the one attached, what was the original aim.
Help files for sgolayfilter functions are well documented.
Thank you all !
David
WIN10-64bits, Scilab 6.1.0
*De :* users <users-boun...@lists.scilab.org> *De la part de* Clément
David
*Envoyé :* jeudi 18 mars 2021 15:08
*À :* Users mailing list for Scilab <users@lists.scilab.org>
*Objet :* Re: [Scilab-users] find and locate local maxima
Hello David,
I merged the change, it is now available on Scilab nightly build and
on all CI builds after scilab-6.1-windows-64 #4595 [Jenkins]
<https://antispam.utc.fr/proxy/2/c3RlcGhhbmUubW90dGVsZXRAdXRjLmZy/build.scilab.org/view/Scilab%206.1/job/scilab-6.1-windows-64/4595/>
. Feel free to open bugs or reply on this thread if you have comments
on this new feature.
Thanks,
Clément
*From:*users <users-boun...@lists.scilab.org
<mailto:users-boun...@lists.scilab.org>> *On Behalf Of *CHEZE David 227480
*Sent:* Thursday, March 18, 2021 12:44 PM
*To:* Users mailing list for Scilab <users@lists.scilab.org
<mailto:users@lists.scilab.org>>
*Subject:* Re: [Scilab-users] find and locate local maxima
Hi all,
I’d be glad obviously to download the whole package to test it and
report my experience : I’m not use with the ‘review interface’ is
there any way to download the whole package or I just retrieve files
one by one ?
Thanks,
David
*De :* users <users-boun...@lists.scilab.org
<mailto:users-boun...@lists.scilab.org>> *De la part de* Stéphane Mottelet
*Envoyé :* mercredi 17 mars 2021 10:40
*À :* users@lists.scilab.org <mailto:users@lists.scilab.org>
*Objet :* Re: [Scilab-users] find and locate local maxima
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>
<mailto:users-boun...@lists.scilab.org> *On Behalf Of *Claus Futtrup
*Sent:* Tuesday, March 16, 2021 7:40 PM
*To:* users@lists.scilab.org <mailto: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/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
http://www.utc.fr/~mottelet
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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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--
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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