Hi Oscar, It's the same problem as Esteban's . I'll have a look this weekend ! BY then, could you tell me the parameters used (in the filter configuration) ? Cheers, Thom Le 21/03/2014 20:14, Oscar Alberto Castro Artola a écrit : _______________________________________________ MSNoise mailing list MSNoise(a)mailman-as.oma.be http://mailman-as.oma.be/mailman/listinfo/msnoise

Hello Thomas, first of all, thank you for your time!

The filters that I am using are the following: ref low mwcs_low high mwcs_high rms_threshold mwcs_wlen mwcs_step used 1 0.03 0.03 0.2 0.2 3 10 5 1

Attached you will find a copy of my Configuration table.

I really appreciate your help! Greetings from Mexico!

Oscar On Tue, Mar 25, 2014 at 4:40 AM, Thomas Lecocq <thomas.lecocq(a)oma.be> wrote: "/home/oscar/anaconda/lib/python2.7/site-packages/statsmodels/base/model.py", "/home/oscar/anaconda/lib/python2.7/site-packages/statsmodels/base/model.py", "/home/oscar/anaconda/lib/python2.7/site-packages/statsmodels/base/data.py", "/home/oscar/anaconda/lib/python2.7/site-packages/statsmodels/base/data.py", "/home/oscar/anaconda/lib/python2.7/site-packages/statsmodels/base/data.py", _______________________________________________ MSNoise mailing list MSNoise(a)mailman-as.oma.be http://mailman-as.oma.be/mailman/listinfo/msnoise

Hello Thomas, all my data have 1 sps so I changed the sampling_rate value to 1.

Thank you very much! Greetings from Mexico! Oscar On Wed, Mar 26, 2014 at 12:22 AM, Thomas Lecocq &lt;thlecocq(a)gmail.com&gt; wrote: > Hello Oscar, > > > > 2014-03-25 15:31 GMT+01:00 Oscar Alberto Castro Artola < > oscar.cas.art(a)gmail.com&gt;gt;: > >> Hello Thomas, >> >> first of all, thank you for your time! > My pleasure, I'm really happy to see people are using MSNoise. > > >> The filters that I am using are the >> following: >> >> ref low mwcs_low high mwcs_high rms_threshold mwcs_wlen mwcs_step used >> 1 0.03 0.03 0.2 0.2 3 10 5 1 >> > That seems to be OK, there should be enough points for the linear > regression... Well, depending on the sampling_rate of the CCFs ? Did you > leave the default 20Hz value ? > >> Attached you will find a copy of my Configuration table. > This attachment did not make it.. > > Cheers > > Thomas > > > >> I really >> appreciate your help! Greetings from Mexico! >> > >> Oscar >> >> >> On Tue, Mar 25, 2014 at 4:40 AM, Thomas Lecocq &lt;thomas.lecocq(a)oma.be&gt; >> wrote: >> >>> Hello Oscar, >>> >>> for Esteban, it seems the problems comes from a too-narrow frequency > band >>> in the MWCS, which doesn't provide enough (any) points for computing > the >>> phase shift (weighted linear regression). >>> >>> What are the filters you use ? >>> >>> Best regards, >>> >>> Thomas >>> >>> Le 21/03/2014 23:30, Thomas Lecocq a écrit : >>> >>> Hi Oscar, >>>> It's the same problem as Esteban's . I'll have a look this weekend ! >>>> >>>> BY then, could you tell me the parameters used (in the filter >>>> configuration) ? >>>> >>>> Cheers, >>>> >>>> Thom >>>> >>>> Le 21/03/2014 20:14, Oscar Alberto Castro Artola a écrit : >>>> >>>>> Hi, I was trying tu run *s05compute_mwcs.py* but I get this error >>>>> message: >>>>> >>>>> *Traceback (most recent call last):* >>>>> * File "s05compute_mwcs.py", line 118, in <module>* >>>>> * cur, ref, f.mwcs_low, f.mwcs_high, goal_sampling_rate, -maxlag, >>>>> f.mwcs_wlen, f.mwcs_step)* >>>>> * File "/home/oscar/MSNoise-1.2.3/MWCS.py", line 145, in mwcs* >>>>> * res = sm.regression.linear_model.WLS(phi, v, w**2).fit()* >>>>> * File >>>>> "/home/oscar/anaconda/lib/python2.7/site-packages/ >>>>> statsmodels/regression/linear_model.py", >>>>> line 381, in __init__* >>>>> * weights=weights, hasconst=hasconst)* >>>>> * File >>>>> "/home/oscar/anaconda/lib/python2.7/site-packages/ >>>>> statsmodels/regression/linear_model.py", >>>>> line 79, in __init__* >>>>> * super(RegressionModel, self).__init__(endog, exog, **kwargs)* >>>>> * File >>>>> > "/home/oscar/anaconda/lib/python2.7/site-packages/statsmodels/base/model.py", >>>>> line 136, in __init__* >>>>> * super(LikelihoodModel, self).__init__(endog, exog, **kwargs)* >>>>> * File >>>>> > "/home/oscar/anaconda/lib/python2.7/site-packages/statsmodels/base/model.py", >>>>> line 52, in __init__* >>>>> * self.data = handle_data(endog, exog, missing, hasconst, > **kwargs)* >>>>> * File >>>>> > "/home/oscar/anaconda/lib/python2.7/site-packages/statsmodels/base/data.py", >>>>> line 397, in handle_data* >>>>> * return klass(endog, exog=exog, missing=missing, > hasconst=hasconst, >>>>> **kwargs)* >>>>> * File >>>>> > "/home/oscar/anaconda/lib/python2.7/site-packages/statsmodels/base/data.py", >>>>> line 78, in __init__* >>>>> * self._check_integrity()* >>>>> * File >>>>> > "/home/oscar/anaconda/lib/python2.7/site-packages/statsmodels/base/data.py", >>>>> line 246, in _check_integrity* >>>>> * if len(self.exog) != len(self.endog):* >>>>> *TypeError: len() of unsized object* >>>>> >>>>> Thank you in advance! >>>>> >>>>> Oscar >>>>> _______________________________________________ >>>>> MSNoise mailing list >>>>> MSNoise(a)mailman-as.oma.be >>>>> http://mailman-as.oma.be/mailman/listinfo/msnoise >>>>> >>>> _______________________________________________ >>>> MSNoise mailing list >>>> MSNoise(a)mailman-as.oma.be >>>> http://mailman-as.oma.be/mailman/listinfo/msnoise >>>> >>> _______________________________________________ >>> MSNoise mailing list >>> MSNoise(a)mailman-as.oma.be >>> http://mailman-as.oma.be/mailman/listinfo/msnoise >>> >>> >> _______________________________________________ >> MSNoise mailing list >> MSNoise(a)mailman-as.oma.be >> http://mailman-as.oma.be/mailman/listinfo/msnoise >> >> > _______________________________________________ > MSNoise mailing list > MSNoise(a)mailman-as.oma.be > http://mailman-as.oma.be/mailman/listinfo/msnoise > > > > > _______________________________________________ > MSNoise mailing list > MSNoise(a)mailman-as.oma.be > http://mailman-as.oma.be/mailman/listinfo/msnoise