Hi Hélène, The filters need to be defined in the configurator. Filter bounds define the bandpass that will whitened. Around this whitened part, the spectra will be tapered to 0.+0j. Indeed, I've rechecked the doc, it's not very obvious. Thanks for pointing this out :) I'll try to spend some time on the doc soon. Briefly: each filter is defined with: low : lower frequency of the bandpass high : upper ... mwcs_low : slightly higher than low, it is the lower frequency for which MWCS' weighted linear regression will be estimated mwcs_high : slightly lower than high,... mwcs_wlen : window length for computing the relative delay in the MWCS mwcs_step : step between two windows. if equal to mwcs_wlen: no overlap. rms_threshold: not used any more, should disappear, set it to 0.0. Hope this helps, let me know (via this mailing list, svp.) Thom -------- Message original -------- Sujet: MSNoise: filters Date : Sat, 8 Mar 2014 14:14:33 +0100 Pour : Thomas Lecocq <thomas.lecocq(a)oma.be> Thomas, we solved the problem with scikits_samplerate apprently related to some export in my .bashrc. I am now at s03compute_cc.py and get an error because I did not define any filters: apparently this is not implementted yet (?) , to what these filters correspond? Cheers Helene -----Message d'origine----- From: Thomas Lecocq Sent: Thursday, March 06, 2014 5:45 PM To: Helene.Lyon-Caen(a)ens.fr Subject: Re: scikits Hélène, You could remove the dependency to scikits by using only Decimation, if all your data are in the same sampling rate ! Thom Le 06/03/2014 16:18, Helene Lyon-Caen a écrit :