Talk:Ricker wavelet

Renaming to Ricker Wavelet[edit]

Is it necessary to name this as the Mexican Hat Wavelet? It's more recognizable name is the Ricker Wavelet so perhaps this should be the official name. Chris Engelsma ■ 18:04, 20 October 2011 (UTC)[reply]

I agree with this. Ricker Wavelet is a much more common name. I have not heard Mexican Hat Wavelet in any place other than here. All publications I have read call it Ricker. 129.7.231.237 (talk) 06:52, 12 April 2012 (UTC)[reply]

This function is referred to as the Mexican hat function in the image processing and computer vision communities. In these areas, this is an established terminology. I have also seen a number of mathematicians using this terminology. Therefore, a redirect from Richer Wavelet may be more appropriate. I have never heard of Ricker wavelet before this occasion now, however. Tpl (talk) 09:38, 14 April 2012 (UTC)[reply]

Well, it's true that the MATLAB function for it is mexihat, and in my experience with applications of signal processing to images (at Sun Microsystems in the 1980s), speech (my last three Ph.D. students at Stanford during 1998-2003 were all in acoustics), and climate (my current interest since 2008), both seem to be common. However I was surprised to see the article with one name and the first sentence using the other. My own preference would be for the shorter term, which honors Ricker. I'm not sure who "Mexican hat" is supposed to honor, nor even if it's an honor. Vaughan Pratt (talk) 15:23, 27 June 2018 (UTC)[reply]

normalizing term[edit]

Is the normalizing term correct there? i have coded this in matlab: excit_function=sprintf('(1-((t-%e).^2/%e.^2)).*exp(-(t-%e).^2/(2*%e.^2))',5*ex_sigma,ex_sigma,5*ex_sigma,ex_sigma); t=0:dt:sim_time; excit=eval(excit_function); which is without the normalizing term and it correctly evaluates so that peak is +1 and not something like +10^27 —Preceding unsigned comment added by 188.220.32.144 (talk) 20:59, 25 February 2010 (UTC)[reply]

Lanczos resampling[edit]

This looks a lot like the kernel of Lanczos resampling. Is this just a superficial relationship? —Ben FrantzDale (talk) 21:32, 31 December 2007 (UTC) Yes, it's just resemblance, there's no relationship. crisluengo (talk) 07:50, 15 September 2009 (UTC)[reply]

normalizing term, second post[edit]

> I've changed the coefficient in front of the equation to be the mathematical result of what it says it should be, ie. the second derivative of a normalized Gaussian distribution.

It shouldn't be the second derivative of a normalized Gaussian distribution. It should be a wavelet, normalized by ordinary wavelet normalization rules:

\int _{-\infty }^{\infty }|\psi (t)|^{2}\,dt=1

(see Wavelet)

Is second image 3D or 2D?[edit]

This is 1-dimensional wavelet. It depends on one variable $t$ :

\psi (t)={2 \over {{\sqrt {3\sigma }}\pi ^{1 \over 4}}}\left(1-{t^{2} \over \sigma ^{2}}\right)e^{-t^{2} \over 2\sigma ^{2}}

This is 2-dimensional wavelet. It depends on two variables: $x,y$ :

\psi (x,y)=-{\frac {1}{\pi \sigma ^{4}}}\left(1-{\frac {x^{2}+y^{2}}{2\sigma ^{2}}}\right)\mathrm {e} ^{-(x^{2}+y^{2})/2\sigma ^{2}}.

The image itself is 3d, but what it depicts is a 2d wavelet. — Preceding unsigned comment added by Eloquent2013 (talk • contribs) 09:06, 24 December 2015 (UTC)[reply]

External links modified (January 2018)[edit]

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FT of that[edit]

We are going to need the Fourier transform of that Ricker somewhere in the article too please. 2600:1700:4CA1:3C80:F012:B463:3E65:F44D (talk) 03:20, 21 November 2018 (UTC)[reply]

Power of sigma in the denominator[edit]

I just edited the power of sigma in the denominator from 2 to 4. I'm pretty sure this is correct, although not 100% as I've seen some sources where it's 2 (other than here). Please correct me if I'm wrong.

Sources where it's 4:

https://homepages.inf.ed.ac.uk/rbf/HIPR2/log.htm

https://academic.mu.edu/phys/matthysd/web226/Lab02.htm

https://theailearner.com/2019/05/25/laplacian-of-gaussian-log

https://www.wolframalpha.com/input/?i=laplacian+of+1%2F%282+pi*%5Csigma%5E2%29+*+exp%28-%28x%5E2+%2B+y%5E2%29+%2F+%282*%5Csigma%5E2%29%29

Sources where it's 2:

https://cxc.harvard.edu/ciao/download/doc/detect_manual/wav_theory.html#wav_theory_mh

http://fourier.eng.hmc.edu/e161/lectures/gradient/node8.html

Not sure about the first equation.[edit]

I actually attempted to plot the first equation and I'm not sure it's a Ricker wavelet. I did find this function which made the sombrero like shape in this paper:

https://pdfs.semanticscholar.org/b5a1/883862382c592e2face697bab9f99f94be64.pdf

ricker (omega, x)=

 (1 - ((1/2)*(omega**2)*(x**2))) * exp ((-1/4)*(omega**2)*(x**2))  — Preceding unsigned comment added by Ianmbloom (talk • contribs) 16:48, 16 February 2022 (UTC)[reply]