# [SciPy-User] convolve/deconvolve

josef.pktd@gmai... josef.pktd@gmai...
Fri Feb 1 08:50:59 CST 2013

```On Fri, Feb 1, 2013 at 9:50 AM,  <josef.pktd@gmail.com> wrote:
> On Fri, Feb 1, 2013 at 9:23 AM, François Boulogne <fboulogne@sciunto.org> wrote:
>> Hi,
>>
>> I need to deconvolve a signal with a filter. I had a look in the
>> documentation. The function exists but the docstring is missing and I'm
>> not satisfied of the result I got from a "simple" example.
>>
>> filter = np.array([0,1,1,1,1,0])
>> step = np.array([0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
>> 1, 1, 1, 1])
>> # I convolve both
>> res = convolve(step, filter, 'valid')
>> # and it returns a slope as expected
>> array([0, 0, 1, 2, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4])
>>
>> Now, I want to deconvolve.
>> deconvolve(res, filter)
>> # oops, it raises an exception
>> ValueError: BUG: filter coefficient a[0] == 0 not supported yet
>>
>> # well, let's try this
>> deconvolve(res, filter+1e-9)
>> (array([  0.00000000e+00,   0.00000000e+00,   1.00000000e+09,
>>         -9.99999999e+17,   9.99999999e+26,  -9.99999999e+35,
>>          9.99999999e+44,  -9.99999999e+53,   9.99999999e+62,
>>         -9.99999999e+71,   9.99999999e+80,  -9.99999999e+89]),
>>  array([  0.00000000e+00,   0.00000000e+00,   1.11022302e-16,
>>         -8.27130862e-08,  -4.42500000e+01,   5.46901335e+10,
>>          8.27266814e+19,   7.56858250e+28,  -8.74285726e+37,
>>          9.99419626e+46,   8.27205507e+55,  -8.26933326e+64,
>>          9.99999999e+89,   9.99999999e+89,   9.99999999e+89,
>>          1.00000000e+90,   9.99999999e+80]))
>>
>> It's better but I do not recognize my signal :)
>> 1/ Am I misunderstanding or missing something?
>> 2/ How can I do it correctly?
>
> AFAICS:
>
> not supported, maybe using the numpy polynomial might work for the deconvolution
>
> from the docstring of lfilter, which is used by deconvolve:
>
>    a : array_like
>         The denominator coefficient vector in a 1-D sequence.  If ``a[0]``
>         is not 1, then both `a` and `b` are normalized by ``a[0]``.
>
> with the normalization your 1e-9 blows up the calculations.
>
> (it's been a long time since I tried to figure out deconvolve, and I
> always had 1 in the first position)
>
> Josef
>
>
>>
>> I also noted that no test exists for deconvolve() :(

Volunteers ?

Josef

>>
>> Cheers,
>> François.
>> _______________________________________________
>> SciPy-User mailing list
>> SciPy-User@scipy.org
>> http://mail.scipy.org/mailman/listinfo/scipy-user
```