function Y = normalize_test(X, mix)

%
%  Normalization of feature vectors
%

X = X';   % now feature vectors in rows
[NFV Dummy] = size(X);
m = mix.mean_value;
sd = mix.std_deviation;
%X = (X - repmat(m, NFV, 1))./repmat(sd, NFV, 1);
X = (X)./repmat(sd, NFV, 1);

Y = X';