[R] deconvolution: Using the output and a IRF to get the input
stephen sefick
ssefick at gmail.com
Mon Aug 25 02:50:30 CEST 2008
remember the the inverse of fft has to be divided by the number of observations.
On Sun, Aug 24, 2008 at 8:35 PM, Moshe Olshansky <m_olshansky at yahoo.com> wrote:
> Hi Wolf,
>
> Without noise you could use FFT, i.e. FFT of a convolution is the product of the individual FFTs and so you get the FFT of your input signal and using inverse FFT you get the signal itself.
> When there is noise you must experiment. You may want to filter the response before doing FFT. Whay do you know about the noise?
>
> Regards,
>
> Moshe.
>
>
> --- On Mon, 25/8/08, wolf zinke <wolfzinke at gmx.net> wrote:
>
>> From: wolf zinke <wolfzinke at gmx.net>
>> Subject: [R] deconvolution: Using the output and a IRF to get the input
>> To: r-help at r-project.org
>> Received: Monday, 25 August, 2008, 8:22 AM
>> Hi,
>>
>> Maybe someone could give me some pointers for my problem.
>> So far I have
>> not found a good solution, maybe it is just ill posed?
>>
>> I have a signal that is the result of an input signal
>> convolved with a
>> given impulse response function (IRF) plus noise. I want to
>> use the this
>> signal and the IRF to determine the underlying input
>> signal. In my
>> naivety I thought this just might be a deconvolution
>> problem. But here I
>> found only routines that use the input signal and the
>> output signal to
>> get the IRF. Is it possible to derive the input signal when
>> output and
>> IRF are given? If so, how could I do this with R?
>>
>> Thanks a lot for any hints,
>> wolf
>>
>> ______________________________________________
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>> reproducible code.
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
--
Stephen Sefick
Research Scientist
Southeastern Natural Sciences Academy
Let's not spend our time and resources thinking about things that are
so little or so large that all they really do for us is puff us up and
make us feel like gods. We are mammals, and have not exhausted the
annoying little problems of being mammals.
-K. Mullis
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