[MSNoise] (no subject)

Wed Mar 26 18:26:10 UTC 2014

Hello Thomas,

all my data have 1 sps so I changed the sampling_rate value to 1. You will
find attached the Configuration table, I hope this time is OK, fi not, can
I send it to your personal email? Thank you very much! Greetings from
Mexico!

Oscar

On Wed, Mar 26, 2014 at 12:22 AM, Thomas Lecocq <thlecocq at gmail.com> wrote:

> Hello Oscar,
>
>
>
> 2014-03-25 15:31 GMT+01:00 Oscar Alberto Castro Artola <
> oscar.cas.art at gmail.com>:
>
> > 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 <thomas.lecocq at oma.be>
> > 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 at mailman-as.oma.be
> > >>> http://mailman-as.oma.be/mailman/listinfo/msnoise
> > >>>
> > >>
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