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+% IMGAUSSFILT3_CONV apply gaussian smoothing along all three dimensions using convolution, 
+% faster than matlab alternative
+%
+%
+%  A = imgaussfilt3_conv(A,sigma)
+%
+% Inputs: 
+%   **A           3D volume to be smoothed 
+%   **sigma       gaussian smoothing constant, scalar or use vector for anizotropic kernel smoothing
+% returns: 
+%   ++A           smoothed volume 
+
+        
+
+%*-----------------------------------------------------------------------*
+%|                                                                       |
+%|  Except where otherwise noted, this work is licensed under a          |
+%|  Creative Commons Attribution-NonCommercial-ShareAlike 4.0            |
+%|  International (CC BY-NC-SA 4.0) license.                             |
+%|                                                                       |
+%|  Copyright (c) 2017 by Paul Scherrer Institute (http://www.psi.ch)    |
+%|                                                                       |
+%|       Author: CXS group, PSI                                          |
+%*-----------------------------------------------------------------------*
+% You may use this code with the following provisions:
+%
+% If the code is fully or partially redistributed, or rewritten in another
+%   computing language this notice should be included in the redistribution.
+%
+% If this code, or subfunctions or parts of it, is used for research in a 
+%   publication or if it is fully or partially rewritten for another 
+%   computing language the authors and institution should be acknowledged 
+%   in written form in the publication: “Data processing was carried out 
+%   using the “cSAXS matlab package” developed by the CXS group,
+%   Paul Scherrer Institut, Switzerland.” 
+%   Variations on the latter text can be incorporated upon discussion with 
+%   the CXS group if needed to more specifically reflect the use of the package 
+%   for the published work.
+%
+% A publication that focuses on describing features, or parameters, that
+%    are already existing in the code should be first discussed with the
+%    authors.
+%   
+% This code and subroutines are part of a continuous development, they 
+%    are provided “as they are” without guarantees or liability on part
+%    of PSI or the authors. It is the user responsibility to ensure its 
+%    proper use and the correctness of the results.
+
+
+
+function X = imgaussfilt3_conv(X, filter_size)
+    %% faster equivalent to the imgaussfilt3 in matlab 
+        
+    shape_0 = {[], 1,1};
+    for ax = 1:3
+        if filter_size(min(end,ax))  == 0 
+            continue
+        end
+        if ax == 1 || filter_size(min(end,ax-1)) ~= filter_size(min(end,ax)) 
+            ker = get_kernel(filter_size(min(end,ax)) , class(X));
+        end
+        shape = circshift(shape_0, ax-1);       
+        X = convn(X, reshape(ker,shape{:}), 'same');       
+    end
+    
+end
+
+function ker = get_kernel(filter_size, class)
+    
+    grid = (-ceil(2*filter_size):ceil(2*filter_size)) / filter_size;
+    ker = exp(-grid.^2);
+    ker = ker / sum(ker); 
+    if isa(class, 'gpuArray')
+        ker = gpuArray(single(ker));
+    end
+end