26 Mar
2014
26 Mar
'14
7:22 a.m.
Hello Oscar,
2014-03-25 15:31 GMT+01:00 Oscar Alberto Castro Artola <
oscar.cas.art(a)gmail.com>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 <thomas.lecocq(a)oma.be>
wrote:
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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
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