Arieal,
I just did a quick search and found the same thing I told you on Matlab site (i.e., narrowband filter):
http://www.mathworks.com/access/helpdesk/help/toolbox/signal/f4-1046.html
While it may be interesting to play with cuttoff frequencies and filter order, it is quite useless from a practical point of view. To use a tool, you need to understand what it does and what are its limitations. What you are trying to do with the filter is almost the same as if you are trying to find the mean value of the signal (hence the almost flat line). You definitely do not need butterworth filter for that, just find the mean value of the signal for such type of operation.
As for your order question, it basically determines how many past samples are you using in the filtering operation. Maybe you can read this:
http://en.wikipedia.org/wiki/Digital_filter#Difference_equation
Cheers,
Ivo
Interesting. It does work with lower filter order. In fact, there is a range of values of filter order for which I get the warning, but also some result. This results looks slightly flatter than the result with filter order set to 6, but is not completely flat. What does the filter order do, intuitively?
Thanks - ArielOn Thu, Mar 4, 2010 at 9:24 AM, Warren Weckesser <warren.weckesser@enthought.com> wrote:
Ariel Rokem wrote:Nils Wagner reported the same behavior a week or so ago, and I see the
> Hi Warren,
>
> thanks for this example!
>
> I am getting the following error:
>
> Library/Frameworks/Python.framework/Versions/6.0.0/lib/python2.6/site-packages/scipy/signal/filter_design.py:224:
> BadCoefficients: Badly conditionned filter coefficients (numerator):
> the results may be meaningless
> "results may be meaningless", BadCoefficients)
>
> For any attempt to filter a low-pass below 12 Hz in this example (so -
> I don't get the plot you got - instead I get a flat line on the bottom
> subplot). Do you (or anyone?) have any idea why that is?
>
same behavior now ("BadCoefficients" and a flat line in the last plot).
Try lowering the order of the Butterworth filter to order=6.
Warren
> Cheers,
>
> Ariel
>
> On Wed, Feb 24, 2010 at 7:51 AM, Warren Weckesser
> <warren.weckesser@enthought.com
> <mailto:warren.weckesser@enthought.com>> wrote:> > SciPy-User@scipy.org <mailto:SciPy-User@scipy.org>
>
> Nils Wagner wrote:
> > Hi all,
> >
> > I have two questions concerning signal processing
> >
> > I have used scipy.stats.signaltonoise to compute the
> > signal-to-noise ratio.
> > The value is 0.0447.
> > How can I judge it ?
> >
> > How can I filter out high frequencies using scipy ?
> >
>
> I posted an example low-pass filtering using 'butter' and
> 'lfilter' from
> scipy.signal here:
>
> http://mail.scipy.org/pipermail/scipy-user/2010-January/024032.html
>
> Warren
>
> > How can I eliminate noise from the signal ?
> >
> > Nils
> > _______________________________________________
> > SciPy-User mailing list
> > http://mail.scipy.org/mailman/listinfo/scipy-user> SciPy-User@scipy.org <mailto:SciPy-User@scipy.org>
> >
>
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>
>
>
> --
> Ariel Rokem
> Helen Wills Neuroscience Institute
> University of California, Berkeley
> http://argentum.ucbso.berkeley.edu/ariel
>
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Helen Wills Neuroscience Institute
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http://argentum.ucbso.berkeley.edu/ariel
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