R help - Mar 2009 - using wavelet transform to calculate mean frequency of a signal

Dear list,

in short: I would like to calculate the mean frequency
of a signal (e.g. time series) using the wavelet transform.



with details: I did not find a R function to calculate a
mean frequency using one of the cran packages.

My searches using  R Site Search returned:
**(1)waveclock {waveclock}    R Documentation
Reconstruction of the modal frequencies in a time series using continuous
wavelet transformation and the "crazy climbers" algorithm
(this look like what I wanted to do, but I can't figure it out)

**(2) tfmean {Rwave}    R Documentation
Average frequency by frequency
(this seems not to help either)


I am a bit desperate at the moment
and would very, very much appreciate any help.

Regards,
Stephan

	[[alternative HTML version deleted]]

global wavelet spectrum?  There is something somewhere - I just can't
remember where off the top of my head.

Stephen Sefick

On Sun, Mar 22, 2009 at 2:21 PM, stvienna wiener <stvienna at gmail.com>
wrote:
> Dear list,
>
> in short: I would like to calculate the mean frequency
> of a signal (e.g. time series) using the wavelet transform.
>
>
>
> with details: I did not find a R function to calculate a
> mean frequency using one of the cran packages.
>
> My searches using ?R Site Search returned:
> **(1)waveclock {waveclock} ? ?R Documentation
> Reconstruction of the modal frequencies in a time series using continuous
> wavelet transformation and the "crazy climbers" algorithm
> (this look like what I wanted to do, but I can't figure it out)
>
> **(2) tfmean {Rwave} ? ?R Documentation
> Average frequency by frequency
> (this seems not to help either)
>
>
> I am a bit desperate at the moment
> and would very, very much appreciate any help.
>
> Regards,
> Stephan
>
> ? ? ? ?[[alternative HTML version deleted]]
>
> ______________________________________________
> 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
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