[MSNoise] (no subject)

[Oscar Alberto Castro Artola]

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 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
>>>
>>
>> _______________________________________________
>> MSNoise mailing list
>> MSNoise at mailman-as.oma.be
>> http://mailman-as.oma.be/mailman/listinfo/msnoise
>>
>
> _______________________________________________
> MSNoise mailing list
> MSNoise at mailman-as.oma.be
> http://mailman-as.oma.be/mailman/listinfo/msnoise
>
>