Rank: 295 based on 379 downloads (last 30 days) and 6 files submitted
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Files Posted by nate View all
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(last 30 days)
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22 Sep 2014 Screenshot Compact X-Tick Labels Allow plotting X-Tick Labels at alternating heights Author: nate plot, figure, labels 29 0
13 Aug 2014 Screenshot Discrete variable representation (DVR) in 1D Discrete variable representation (DVR) for 1D systems in QM Author: nate physics, chemistry, linear algebra 21 0
25 Oct 2013 Screenshot Polar Onion Peeling Apply polar onion peeling method for analyzing velocity map imaging (VMI) data. Author: nate onion peeling, physics, chemistry, image processing 24 2
11 Oct 2013 Screenshot Fast 2D peak finder Find local maxima \ peak positions in noisy 2D arrays Author: nate peakfind, peak, local maxima, image processing, signal processing, centroid 215 12
  • 5.0
5.0 | 7 ratings
03 Dec 2012 Screenshot Gaussian beam propagation through a series of thin lenses Propagates a Gaussian beam through a series of thin lenses Author: nate gaussian optics, beam, propagation, optics, simulation 61 0
  • 5.0
5.0 | 1 rating
Comments and Ratings by nate View all
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10 May 2014 Fast 2D peak finder Find local maxima \ peak positions in noisy 2D arrays Author: nate

The default filter matrix is a 7x7 Gaussian, and the smoothing is done via 2D convolution of the image with that filter. If you don't understand why this smooths the data you can refer to this simple demo (http://blogs.mathworks.com/videos/2012/04/17/using-convolution-to-smooth-data-with-a-moving-average-in-matlab/). The size of the filter was selected for typical PSF's, and what it does is to take the weighted average for each pixel with it's 7x7 pixels surrounding it (so it's a moving average), where the weights are normally distributed (hence a Gaussian). If you have more questions email me.

23 Apr 2014 Data space to figure units conversion A utility function to simplify use of annotation function Author: Michelle Hirsch

Please consider adding functionality for the case PlotBoxAspectRatio is not [1 1 1] (in case axis image for example)

07 Apr 2014 Scalable Vector Graphics (SVG) Export of Figures Converts 3D and 2D MATLAB plots to the scalable vector format (SVG). Author: Juerg Schwizer

Is there an easy way to use this function for figures where the colormap has more than 256 colors?

14 Oct 2013 Polar Onion Peeling Apply polar onion peeling method for analyzing velocity map imaging (VMI) data. Author: nate

@Luis, if you press "Download Submission" you'll get a zip file (pop.zip) that contains also delta_lut.mat ...

11 Oct 2013 Fast 2D peak finder Find local maxima \ peak positions in noisy 2D arrays Author: nate

@Dan, I've added a sub-pixel resolution centroid feature to the code...

Comments and Ratings on nate's Files View all
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19 Aug 2014 Fast 2D peak finder Find local maxima \ peak positions in noisy 2D arrays Author: nate Yuanwei

10 May 2014 Fast 2D peak finder Find local maxima \ peak positions in noisy 2D arrays Author: nate nate

The default filter matrix is a 7x7 Gaussian, and the smoothing is done via 2D convolution of the image with that filter. If you don't understand why this smooths the data you can refer to this simple demo (http://blogs.mathworks.com/videos/2012/04/17/using-convolution-to-smooth-data-with-a-moving-average-in-matlab/). The size of the filter was selected for typical PSF's, and what it does is to take the weighted average for each pixel with it's 7x7 pixels surrounding it (so it's a moving average), where the weights are normally distributed (hence a Gaussian). If you have more questions email me.

09 May 2014 Fast 2D peak finder Find local maxima \ peak positions in noisy 2D arrays Author: nate Jochen

Thanks a lot for that brilliant function!
But I don't understand how the filter matrix is supposed to look like to smooth the image. Can you give me hint?
Thanks!

18 Apr 2014 Fast 2D peak finder Find local maxima \ peak positions in noisy 2D arrays Author: nate Andrey

14 Oct 2013 Polar Onion Peeling Apply polar onion peeling method for analyzing velocity map imaging (VMI) data. Author: nate nate

@Luis, if you press "Download Submission" you'll get a zip file (pop.zip) that contains also delta_lut.mat ...

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