Rank: 58 based on 515 downloads (last 30 days) and 10 files submitted
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Damien Garcia

E-mail
Company/University
CRCHUM - Research Centre, University of Montreal Hospital
Lat/Long
45.5250244140625, -73.56117248535156

Personal Profile:

http://www.biomecardio.com

Professional Interests:
Cardiovascular biomechanics & imaging

 

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Files Posted by Damien View all
Updated   File Tags Downloads
(last 30 days)
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27 Jun 2013 Screenshot Easy 'n fast smoothing for 1-D to N-D data SMOOTHN allows automatized and robust smoothing in arbitrary dimension w/wo missing values Author: Damien Garcia image processing, signal processing, statistics, smooth 155 16
  • 4.75
4.8 | 16 ratings
22 May 2013 Screenshot Simpson's rule for numerical integration The Simpson's rule uses parabolic arcs instead of the straight lines used in the trapezoidal rule Author: Damien Garcia numerical integration 60 2
  • 5.0
5.0 | 3 ratings
08 May 2013 Screenshot Inpaint over missing data in 1-D, 2-D, 3-D,... N-D arrays Y = INPAINTN(X) computes the missing data in the N-D array X. Author: Damien Garcia interpolation, missing data, extrapolation, inpaint, griddatan, image processing 72 8
  • 5.0
5.0 | 8 ratings
06 May 2013 Screenshot Noise variance estimation EVAR estimates the noise variance from 1-D to N-D data Author: Damien Garcia signal processing, statistics 35 0
  • 5.0
5.0 | 1 rating
22 Aug 2012 Screenshot Quick spline smoothing for 1-D data Z = SMOOTH1Q(Y) smooths data Y using a DCT- or FFT-based spline smoothing method Author: Damien Garcia smoothing 14 0
Comments and Ratings by Damien View all
Updated File Comments Rating
28 Oct 2010 Label connected components in 2-D array LABEL is a generalization of BWLABEL Author: Damien Garcia

to Irwin Donis: Because LABEL works with arrays of any class, the 0s are NOT considered as the background. Only NaN values are considered as background. Transform your background into NaNs before using LABEL.

02 Jul 2010 Image segmentation & Extraction This program segments and extracts objects from an image. Author: Jeny Rajan

20 Apr 2010 Easy 'n fast smoothing for 1-D to N-D data SMOOTHN allows automatized and robust smoothing in arbitrary dimension w/wo missing values Author: Damien Garcia

to Matthew: you should have read the File description:
MATLAB release: MATLAB 7.5 (R2007b)
BSXFUN is nonexistent in versions prior to 7.4!
Regards. DG

07 Apr 2010 allwords Parse a sentence or any string into distinct "words" Author: John D'Errico

Valuable code, but I would suggest something as simple as:
words = regexp(str,'\w+','match')
which seems to be faster and could be easily adapted to the above-mentioned syntaxes.

As an example, try the following:
-----------------------------------
str = 'The quick brown fox jumped over the lazy dog.';
strlong = repmat(str,1,10000);
words1 = allwords(strlong);
words2 = regexp(strlong,'\w+','match');
isequal(words1,words2)
-----------------------------------

Regards, D.G.

Comments and Ratings on Damien's Files View all
Updated File Comment by Comments Rating
31 Jul 2013 Inpaint over missing data in 1-D, 2-D, 3-D,... N-D arrays Y = INPAINTN(X) computes the missing data in the N-D array X. Author: Damien Garcia Crapeau, Marc

Very good submission. I was working on my own version of this problem when a google research send me here and save me several hours of work. Thanks!

21 Jul 2013 Easy 'n fast smoothing for 1-D to N-D data SMOOTHN allows automatized and robust smoothing in arbitrary dimension w/wo missing values Author: Damien Garcia Ben

Hi Damien,
What if I have non-uniformly sampled array? Could it be possible to us this function? Currently, I found the smoothed curve did not maintain the start and end points in 3D. The smoothed curve looks being shrunk.

24 May 2013 Easy 'n fast smoothing for 1-D to N-D data SMOOTHN allows automatized and robust smoothing in arbitrary dimension w/wo missing values Author: Damien Garcia Lechner, Martin

Super tool for smoothing!

19 May 2013 Simpson's rule for numerical integration The Simpson's rule uses parabolic arcs instead of the straight lines used in the trapezoidal rule Author: Damien Garcia Matthew

18 May 2013 Simpson's rule for numerical integration The Simpson's rule uses parabolic arcs instead of the straight lines used in the trapezoidal rule Author: Damien Garcia Angelos

That is a very good example for the for understand the Simpson's rule!! Excellent work!

Top Tags Applied by Damien
image processing, signal processing, statistics, connected component labeling, connectedcomponent labeling
Files Tagged by Damien View all
Updated   File Tags Downloads
(last 30 days)
Comments Rating
27 Jun 2013 Screenshot Easy 'n fast smoothing for 1-D to N-D data SMOOTHN allows automatized and robust smoothing in arbitrary dimension w/wo missing values Author: Damien Garcia image processing, signal processing, statistics, smooth 155 16
  • 4.75
4.8 | 16 ratings
22 May 2013 Screenshot Simpson's rule for numerical integration The Simpson's rule uses parabolic arcs instead of the straight lines used in the trapezoidal rule Author: Damien Garcia numerical integration 60 2
  • 5.0
5.0 | 3 ratings
08 May 2013 Screenshot Inpaint over missing data in 1-D, 2-D, 3-D,... N-D arrays Y = INPAINTN(X) computes the missing data in the N-D array X. Author: Damien Garcia interpolation, missing data, extrapolation, inpaint, griddatan, image processing 72 8
  • 5.0
5.0 | 8 ratings
06 May 2013 Screenshot Noise variance estimation EVAR estimates the noise variance from 1-D to N-D data Author: Damien Garcia signal processing, statistics 35 0
  • 5.0
5.0 | 1 rating
22 Aug 2012 Screenshot Quick spline smoothing for 1-D data Z = SMOOTH1Q(Y) smooths data Y using a DCT- or FFT-based spline smoothing method Author: Damien Garcia smoothing 14 0

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