https://github.com/bigdelys/pre_ICA_cleaning
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Tip revision: 7dcb056c36d2c6d0881f5fa6163dd4d5a066d854 authored by Nima Bigdely-Shamlo on 01 August 2017, 19:48:08 UTC
after LARg pipeline
Tip revision: 7dcb056
block_geometric_median.m
function y = block_geometric_median(X,blocksize,varargin)
% Calculate a blockwise geometric median (faster and less memory-intensive 
% than the regular geom_median function).
%
% This statistic is not robust to artifacts that persist over a duration that
% is significantly shorter than the blocksize.
%
% In:
%   X : the data (#observations x #variables)
%   blocksize : the number of successive samples over which a regular mean 
%               should be taken
%   tol : tolerance (default: 1.e-5)
%   y : initial value (default: median(X))
%   max_iter : max number of iterations (default: 500)
%
% Out:
%   g : geometric median over X
%
% Notes:
%   This function is noticably faster if the length of the data is divisible by the block size.
%   Uses the GPU if available.
% 

% Copyright (C) Christian Kothe, SCCN, 2013, christian@sccn.ucsd.edu
%
% This program is free software; you can redistribute it and/or modify it under the terms of the GNU
% General Public License as published by the Free Software Foundation; either version 2 of the
% License, or (at your option) any later version.
%
% This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without
% even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
% General Public License for more details.
%
% You should have received a copy of the GNU General Public License along with this program; if not,
% write to the Free Software Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307
% USA

if nargin < 2 || isempty(blocksize)
    blocksize = 1; end

if blocksize > 1
    [o,v] = size(X);       % #observations & #variables
    r = mod(o,blocksize);  % #rest in last block
    b = (o-r)/blocksize;   % #blocks
    if r > 0
        X = [reshape(sum(reshape(X(1:(o-r),:),blocksize,b*v)),b,v); sum(X((o-r+1):end,:))*(blocksize/r)];
    else
        X = reshape(sum(reshape(X,blocksize,b*v)),b,v);
    end
end

try
    y = gather(geometric_median(gpuArray(X),varargin{:}))/blocksize;
catch
    y = geometric_median(X,varargin{:})/blocksize;
end
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