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5.0 | 8 ratings Rate this file 22 Downloads (last 30 days) File Size: 16.3 KB File ID: #20417 Version: 1.0
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23 Jun 2008 (Updated )

Filter/smoothing of multidimensional data with an specified window function, ignoring NaNs.

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NDNANFILTER N-dimensional zero-phase digital filter, ignoring NaNs.
[Y,W] = ndnanfilter(X,HWIN,F);
X - Multidimensional data with/without NaNs.
HWIN - Window's name (N-D moving average by default: 'rectwin').
F - Vector specifying the semi-width of the window for each dimension.
Y - Filtered/smoothed X data (same size as X!) with zero phase shift.
W - N-dimensional window with central symmetry generated by a special subfunction called NDWIND.
This function applies a N-dimensional convolution of X with W, using the MATLAB's IMFILTER or CONVN function, ignoring/interpolating/filling NaNs.

By default, the edges are padded with the values of X at the borders with the PADARRAY MATLAB's function. When PADARRAY is not found, the program performs zero-padding.

* See the screenshot.


Moving Average V3.1 (Mar 2008) inspired this file.

This file inspired Filt2 2 D Geospatial Data Filter and Imagescnan.M V2.1 (Aug 2009).

MATLAB release MATLAB 7.5 (R2007b)
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Comments and Ratings (8)
11 May 2016 Chad Greene

Chad Greene (view profile)

Brilliant! This is a well-written function with excellent documentation. It is nearly as fast as imfilter. Thanks for sharing.

05 May 2016 Vivi Andasari

03 Feb 2015 Peter Gaube

Nice and fast, versatile and seems to work. Kudos!

12 Feb 2013 Phillip

Phillip (view profile)

Works great, wish they would implement NaN ignoring options like this in the stock Matlab filters. Good job!

05 Jun 2009 Ueli Rutishauser

02 Sep 2008 Bill Horton

2Dimensional hamming! Incrdible!

30 Jun 2008 Fred Duncan

25 Jun 2008 Mat Lab

This is what FEx is all about! Thanks Carlos!

27 Jun 2008

1. Fixed small bug with vector input (force F=0 in the second dimension)
2. Small changes in the description above.

04 May 2016 1.0

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