[R] R: Harmonic Analysis

stephen sefick ssefick at gmail.com
Thu May 28 00:56:59 CEST 2009


Do you need time localization, or are you only interested in the
period of the high frequency?  If you do need time localization why
not use a CWT to look at the signal?

Stephen

On Wed, May 27, 2009 at 4:59 PM,  <mauede at alice.it> wrote:
> Well, the time series I am  dealing with are non-linear and not-stationary.
> Maura
>
> -----Messaggio originale-----
> Da: r-help-bounces at r-project.org per conto di stephen sefick
> Inviato: mer 27/05/2009 14.58
> A: r-help at stat.math.ethz.ch
> Oggetto: Re: [R] Harmonic Analysis
>
> why will a fourier transform not work?
> 2009/5/27 Uwe Ligges <ligges at statistik.tu-dortmund.de>:
>>
>>
>> Dieter Menne wrote:
>>>
>>>  <mauede <at> alice.it> writes:
>>>
>>>> I am looking for a package to perform harmonic analysis with the goal of
>>>> estimating the period of the
>>>> dominant high frequency component in some mono-channel signals.
>>>
>>> You should widen your scope by looking a "time series" instead of
>>> harmonic
>>> analysis. There is a task view on the subject at
>>>
>>> http://cran.at.r-project.org/web/views/TimeSeries.html
>>
>>
>> ... or take a look at package tuneR.
>>
>> Uwe Ligges
>>
>>
>>
>>
>>> Dieter
>>>
>>> ______________________________________________
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>>
>> ______________________________________________
>> 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
>
> Let's not spend our time and resources thinking about things that are
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> annoying little problems of being mammals.
>
>                                                                 -K. Mullis
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
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> and provide commented, minimal, self-contained, reproducible code.
>
>
>
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-- 
Stephen Sefick

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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