function Y = pcarec(X,model)% PCAREC Computes reconstructed vector after PCA projection.% % Synopsis:%  Y = pcarec(X,model)%% Description:%  The input vectorts X are projected onto Z using linear %  projection trained by the Principal Component Analysis (PCA). %  The vectors Y are computed from Z as a reconstruction of %  the original vectors X:%%       PCA     Reconstr%    X  --->  Z   --->   Y%% Input:%  X [dim x num_data] Input vectors.%  model [struct] Linear projection trained by PCA. %% Output:%  Y [dim x num_data] Reconstructed vectors.%% See also %  LINPROJ, PCA, KPCAREC.%% About: Statistical Pattern Recognition Toolbox% (C) 1999-2003, Written by Vojtech Franc and Vaclav Hlavac% <a href="http://www.cvut.cz">Czech Technical University Prague</a>% <a href="http://www.feld.cvut.cz">Faculty of Electrical Engineering</a>% <a href="http://cmp.felk.cvut.cz">Center for Machine Perception</a>% Modifications:% 25-may-2004, VF% 5-may-2004, VF% 22-apr-2004, VF% 17-mar-2004, VF, created.[dim,num_data] = size(X);Y = model.W*linproj(X,model) + model.mean_X*ones(1,num_data);return;  % EOF