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Riccardo

E-mail: riccardoklinger@gmail.com

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Comments and Ratings by Riccardo		View all 1 - 2 of 2
Updated	File	Comments	Rating
23 Jun 2009	Conversion of UTM Coordinates to Spherical Coordinates Little GUI allows you convert UTM coordinates to spherical coordinates. Author: Gabriel Ruiz	you should add, that deg2dms is needed...
10 Feb 2009	curvature 8-connected neighborhood curvature of a digital elevation model Author: Wolfgang Schwanghart	fast on my grid-...

Currently Watching
Type	Description
File	moving_average v3.1 (Mar 2008)

Files Matching Riccardo's Watch List					1 - 1 of 1
Updated		File	Tags	Downloads (last 30 days)	Comments	Rating
13 Mar 2008		moving_average v3.1 (Mar 2008) Smooths a matrix (with/without NaN's) via recursive moving average method and eliminates data gaps. Author: Carlos Adrian Vargas Aguilera	nan, filter2, moving average, filter, filter analysis, filter design	120	28	4.3 4.3 \| 21 ratings

Comments and Ratings Matching Riccardo's Watch List			1-5 of 29
Date	File	Comment by	Comments	Rating
04 Nov 2009	moving_average v3.1 (Mar 2008) Smooths a matrix (with/without NaN's) via recursive moving average method and eliminates data gaps.	Eric	Carlos, I like your function moving_average, very easy to use. I have data which has small to large time gaps and I don't want to filter across the gaps. I could break the vector up at each gap but that would mean work. Any suggestion on how to handle something like this?	5
17 Sep 2009	moving_average v3.1 (Mar 2008) Smooths a matrix (with/without NaN's) via recursive moving average method and eliminates data gaps.	almog shalom	Very useful foe me (mainly for plotting)	5
05 May 2009	moving_average v3.1 (Mar 2008) Smooths a matrix (with/without NaN's) via recursive moving average method and eliminates data gaps.	Peter		5
27 Feb 2009	moving_average v3.1 (Mar 2008) Smooths a matrix (with/without NaN's) via recursive moving average method and eliminates data gaps.	Kuo-Hsien	Dear all, I'm dealing with gap filling on weather measurements which the NaN should be filled based on the time window of several days.(i.e., neighborhood hour of several days). For example, one NaN at 5pm will be replaced by the mean value in the neighborhood hour of neighborhood several days. (let's say 4, 5 and 6pm of neighborhood 5 days) Here is the bone of question I like to deal with: values = rand(1,1000)'; fake_NaN = floor(rand(1,300)'1000); values(fake_NaN) = NaN; for i = 1:length(values) n = 24 i * (1:5) having_nan_index = find(isnan(values)) new_values = nanmean(values(having_nan_index * n-1:having_nan_index*n+1)) : : Something like that : : If you have any solutions or advices, please feel free to let me know. Thanks, Michael	5
15 Jan 2009	moving_average v3.1 (Mar 2008) Smooths a matrix (with/without NaN's) via recursive moving average method and eliminates data gaps.	hajer gharsallaoui	hi Carlos i have send you an email about the difficulties in programmation of the recursive moving coverage have you any idea about this issue? any help please? thanks by advance	1

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