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function p = pdf(m, v, x) %计算多元高斯密度函数 %输入: % m -- 均值向量, SIZE*1 % v -- 方差向量, SIZE*1 % x -- 输入向量, SIZE*1 %输出: % p -- 输出概率 p = (2 * pi * prod(v)) ^ -0.5 * exp(-0.5 * (x-m) ./ v * (x-m)');

function p = mesh_bem_shells(IMG,FS) % MESH_BEM_SHELLS - Returns BEM scalp, skull and cortex meshes % % p = mesh_bem_shells(IMG,FS) % % MRI volumes to process, eg: % IMG.path = '\data\free

function [p] = mesh_bem_correct(p,origin,dist,coin,cortex) % MESH_BEM_CORRECT - Correct intersections of surfaces % % p = mesh_bem_correct(p, origin, dist, coin, cortex) % % p - the eeg_toolb

function [f] = elec_fit_sphere_optim(r, X, Y, Z, xo, yo, zo) % ELEC_FIT_SPHERE_OPTIM - Optimization for elec_fit_sphere.m % % Called from elec_fit_sphere.m % % $Revision: 1.2 $ $Date: 2003/03

function [C_e, C_d] = elec_distance_consec(dist_e, dist_d) % ELEC_DISTANCE_CONSEC - Identify distance between nearest neighbour electrodes % % Requires input data generated by 'elec_distance.m'

function [G,p] = gui_eeg_contours(p,parent) % GUI_EEG_CONTOURS - GUI controls for topographic mapping of scalp potentials % % Paint Graphical user interface (GUI) for eeg_contour_engine.m % %

function [f] = elec_fit_ellipse_optim(r, X, Y, Z, xo, yo, zo) % ELEC_FIT_ELLIPSE_OPTIM - Optimization for elec_fit_ellipse.m % % Called from elec_fit_ellipse.m % % $Revision: 1.2 $ $Date: 200

function [NN_e, NN_d] = elec_distance_nn(dist_e, dist_d) % ELEC_DISTANCE_NN - Identify distance between nearest neighbour electrodes. % % Requires input data generated by 'elec_distance.m' % % Us

% dcta.m % Test out a fast 1-d dct algorithm for the imagine chip implementation % From Pennebaker/Mitchell, pg. 50-52. See also Arai, Agui, Nakajima % This algorithm is based on the 16-pt D

function [Out]=facerec(Trainset) Slect=Trainset; n=1; M=45; N=length(Slect); allsamples=[];%所有训练图像 for i=1:1:2 for j=1:N filename = sprintf('D:\\zzh\\work\\zzh\\baseline_V8\\ma