Code covered by the BSD License  

Highlights from
Statistical Learning Toolbox

from Statistical Learning Toolbox by Dahua Lin
Functions for statistical learning, pattern recognition and computer vision, covering many topics.

slgridsamples(varargin)
function X = slgridsamples(varargin)
%SLGRIDSAMPLES Generate the sample vectors on grid points
% 
% $ Syntax $
%   - X = slgridsamples(x1, x2, ..., xd)
%   - X = slgridsamples({x1, x2, ..., xd}) 
%
% $ Description $
%   - X = slgridsamples(x1, x2, ..., xd) generates a d x (n1xn2x...xnd)
%     sample matrix, provided that x1, x2, ... xd are vectors storing the
%     the sampled values along dimensions with lengths n1, n2, ..., nd.
%
%   - X = slgridsamples({x1, x2, ..., xd}) is similar to the previous 
%     syntax, except that the dimension sample value vectors are groupped
%     into a cell array.
%
% $ Remarks $
%   - The orders of the samples are determined in following manner that
%     the indices of the grids are generated by slallcombs.
%   - If input arguments are empty, the resulting X would be empty.
%
% $ History $
%   - Created by Dahua Lin on Dec 28th, 2005
%

%% parse and verify input arguments
if nargin == 0
    X = [];
    return;
end
if iscell(varargin{1})
    vars = varargin{1};
else
    vars = varargin;
end

%% Prepare
d = length(vars);
ns = zeros(1, d);
for i = 1 : d
    ns(i) = length(vars{i});
end
ntotal = prod(ns);
X = zeros(d, ntotal);
if ntotal == 0
    return;
end

%% Genertae
inds = slallcombs(ns);
for i = 1 : d
    X(i, :) = vars{i}(inds(i, :));
end



    

Contact us at files@mathworks.com