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shepards
(Toolbox/shepards.m in BrainStorm 2.0 (Alpha))
Function Synopsis
varargout = shepards(X,x,v,n);
Help Text
SHEPARDS - (X,x,v,n); 3D nearest-neighbor interpolation using Shepard's weighting
function varargout = shepards(X,x,v,n);
Inputs
v : Nxt array of data to be interpolated
x : Nx3 array of original locations
X : NN x 3 array of locations onto v will be interpolated
n : Number of nearest neighbors to be considered in the interpolation (default is 8)
Outputs
V : NN x t array of interpolated measures
Cross-Reference Information
This function calls
- norlig C:\BrainStorm_2001\Toolbox\norlig.m
This function is called by
- carto_sph C:\BrainStorm_2001\Toolbox\carto_sph.m
- interp_mail C:\BrainStorm_2001\Toolbox\interp_mail.m
Listing of function C:\BrainStorm_2001\Toolbox\shepards.m
function varargout = shepards(X,x,v,n);
%SHEPARDS - (X,x,v,n); 3D nearest-neighbor interpolation using Shepard's weighting
% function varargout = shepards(X,x,v,n);
%
% Inputs
% v : Nxt array of data to be interpolated
% x : Nx3 array of original locations
% X : NN x 3 array of locations onto v will be interpolated
% n : Number of nearest neighbors to be considered in the interpolation (default is 8)
%
% Outputs
% V : NN x t array of interpolated measures
%<autobegin> ---------------------- 26-May-2004 11:34:22 -----------------------
% --------- Automatically Generated Comments Block Using AUTO_COMMENTS ---------
%
% CATEGORY: Utility - Numeric
%
% Alphabetical list of external functions (non-Matlab):
% toolbox\norlig.m
%
% At Check-in: $Author: Mosher $ $Revision: 12 $ $Date: 5/26/04 10:02a $
%
% This software is part of BrainStorm Toolbox Version 2.0 (Alpha) 24-May-2004
%
% Principal Investigators and Developers:
% ** Richard M. Leahy, PhD, Signal & Image Processing Institute,
% University of Southern California, Los Angeles, CA
% ** John C. Mosher, PhD, Biophysics Group,
% Los Alamos National Laboratory, Los Alamos, NM
% ** Sylvain Baillet, PhD, Cognitive Neuroscience & Brain Imaging Laboratory,
% CNRS, Hopital de la Salpetriere, Paris, France
%
% See BrainStorm website at http://neuroimage.usc.edu for further information.
%
% Copyright (c) 2004 BrainStorm by the University of Southern California
% This software distributed under the terms of the GNU General Public License
% as published by the Free Software Foundation. Further details on the GPL
% license can be found at http://www.gnu.org/copyleft/gpl.html .
%
% FOR RESEARCH PURPOSES ONLY. THE SOFTWARE IS PROVIDED "AS IS," AND THE
% UNIVERSITY OF SOUTHERN CALIFORNIA AND ITS COLLABORATORS DO NOT MAKE ANY
% WARRANTY, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO WARRANTIES OF
% MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE, NOR DO THEY ASSUME ANY
% LIABILITY OR RESPONSIBILITY FOR THE USE OF THIS SOFTWARE.
%<autoend> ------------------------ 26-May-2004 11:34:22 -----------------------
if nargin == 3
n = 8; % Default number of neighbors for interpolation
end
varargout{1} = zeros(size(X,1),size(v,2));
%Wmat = sparse(size(X,1),size(v,1));
Wmat = spalloc(size(X,1),size(v,1),n*size(X,1));
for node = 1:size(X,1)
dist2grid = norlig(x - ones(size(x,1),1)*X(node,:));
[dist2grid isort] = sort(dist2grid);
icube = isort(1:n);
dist2cube = dist2grid(1:n);
clear dist2grid isort
R = max(dist2cube);
W = power((R - dist2cube)./ (R*dist2cube),2); % Interpolation weights from Shepards method
W = W/sum(W);
Wmat(node,icube) = W;
end
varargout{1} = Wmat * v;
if nargout > 1
varargout{2} = Wmat;
end
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