My thoughts exactly.

?FFT should do the job.

And define the dominant term - a_n**2 + b_n**2 - the Parseval Relation.



                                                                           
             stephen sefick                                                
             <ssef...@gmail.co                                             
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                                                                   Subject 
                                       Re: [R] Harmonic Analysis           
             27/05/2009 13:58                                              
                                                                           
                                                                           
                                                                           
                                                                           
                                                                           




why will a fourier transform not work?
2009/5/27 Uwe Ligges <lig...@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
>>
>> ______________________________________________
>> R-help@r-project.org mailing list
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>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>
> ______________________________________________
> R-help@r-project.org mailing list
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> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>



--
Stephen Sefick

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so little or so large that all they really do for us is puff us up and
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annoying little problems of being mammals.


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