[Scilab-users] determination of peaks and valley on a noisy signal

[Rafael Guerra]

Hi Paul,

Thanks for sharing the interesting code & link.
Please note that for noisy data you may still be able to use your peaks-and-valleys code by filtering the input data beforehand.

Depending on the type of noise, Scilab offers different solutions:
- Low-Pass filters: if the noise is mainly higher-frequency than the signal
- Loess non-linear method (available in Scilab’s CWA toolbox): good to remove outliers
- etc.

Regards,
Rafael

From: users [mailto:users-bounces at lists.scilab.org] On Behalf Of paul.carrico at free.fr<mailto:paul.carrico at free.fr>
Sent: Wednesday, October 05, 2016 9:56 PM
To: Users mailing list for Scilab <users at lists.scilab.org<mailto:users at lists.scilab.org>>
Subject: Re: [Scilab-users] Forum dedicated to Scilab developments -> practical concern

Hi

In attachment is typically a project I'm working on : determination of peaks and valley on a noisy signal; Trying to  avoid reinventing the wheel, I had a look on information's and algorithms on internet .... not so easy topics I was thinking at the first time.

Typically a project that can federate people around ... an example among others

Nb: the "peaks detector" project is non applicable on noisy signals (while vectorization is quit interresting)

Paul

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://lists.scilab.org/pipermail/users/attachments/20161006/ded3ea3b/attachment.htm>