# [R] How to select the scale parameter for Gabor transform (Rwave)?

Joaquin Rapela rapela at ucsd.edu
Sat Apr 20 05:25:03 CEST 2013

```Dear list,

It seems that there is a typo in the book "Practical Time-Frequency Analysis"
that documents Rwave. The window that the cgt function of Rwave seems to be
using

g(x)=exp(-x^2/(2*sigma^2))

and not

g(x)=exp(-x^2/(2*sigma))

as stated in Equation (3.23) of the book. Also, it appears that the scale
parameter in the cgt of Rwave equals sigma. In the previous email I derived an
optimal sigma=200, and if in the code below I use sigma=sqrt(200), I obtain a
Gabor transform with good time-frequency resolution.

I am copying the authors of Rwave in this message. If the previous observation
is correct, it would be a good idea to discuss it in the documentation of Rwave.

Cordially, Joaquin

scale
On Fri, Apr 19, 2013 at 02:36:56PM -0700, Joaquin Rapela wrote:
>
> Dear list,
>
> I am trying to choose the scale parameter for the cgt transform but I don't
> know how to do it. In time I would like to be able to separate points 30
> samples apart, and in frequency I would like to separate bands 0.04 Hz
> apart. I tried the two approaches described below and they gave me
> different results.  I would appreciate advise on how to do this.
>
> The Rwave Gabor transform uses a Gaussian window; i.e.,
> g(x)=exp(-x^2/(2*sigma)), with radius deltaG=sqrt(sigma/2). The Fourier
> transform of this window has a radius deltaGHat=1/sqrt(2*sigma). Solving
> for deltaG=10 I get sigma=200, which in turn gives
> deltaGHat=0.05 radians=0.008 Hz. So, sigma=200 should satisfy the
> requirements above.
>
> To make sure sigma=200 works in practice, I computed the Gabor transform of
> two sinusoids separated by 0.04 Hz plus two spikes separated by 30 points
> using the code below. I obtained an excellent frequency resolution but a
> disastrous temporal resolution
> http://sccn.ucsd.edu/~rapela/scaleSelectionProblem/gtResultSigma200.jpg. To
> obtain decent frequency and temporal resolutions I used sigma=10
> http://sccn.ucsd.edu/~rapela/scaleSelectionProblem/gtResultSigma10.jpg.
>
>     fromTime <- 0
>     toTime <- 250
>     by <- 1
>     ts <- seq(from=fromTime, to=toTime)
>     f1 <- 0.01
>     f2 <- 0.05
>     t1 <- 50
>     t2 <- 80
>     K <- 15
>     fMax <- 0.20
>     nf <- 100
>     df <- fMax/(nf/2)
>     scale <- 10
>
>     ys <- sin(2*pi*f1*ts) + sin(2*pi*f2*ts)
>     ys[t1] <- K
>     ys[t2] <- K
>
>     plot(x=ts, y=ys, xlab="Time", ylab="Signal", type="b")
>     cgtsinwave <- cgt(input=ys, nvoice=nf, freqstep=df, scale=scale, plot=TRUE)
>
> Many thanks, Joaquin
>
> --
> Joaquin Rapela, PhD
> Swartz Center for Computational Neuroscience
> University of California San Diego
> 9500 Gilman Drive,
> San Diego, CA 92093-0559
> tel: (858) 822-7536
> fax: (858) 822-7556
> http://sccn.ucsd.edu/~rapela
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> and provide commented, minimal, self-contained, reproducible code.

--
Joaquin Rapela, PhD
Swartz Center for Computational Neuroscience
University of California San Diego
9500 Gilman Drive,
San Diego, CA 92093-0559
tel: (858) 822-7536
fax: (858) 822-7556
http://sccn.ucsd.edu/~rapela
----------------------------------

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