📄 nnd10eeg.m
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function nnd10eeg(cmd,arg1,arg2,arg3)
%NND10EEG Electroencephelogram noise cancellation demonstration.
% First Version, 8-31-95.
%==================================================================
% CONSTANTS
me = 'nnd10eeg';
max_t = 0.5;
% DEFAULTS
if nargin == 0, cmd = ''; else cmd = lower(cmd); end
% FIND WINDOW IF IT EXISTS
fig = nnfgflag(me);
if length(get(fig,'children')) == 0, fig = 0; end
% GET WINDOW DATA IF IT EXISTS
if fig
H = get(fig,'userdata');
fig_axis = H(1); % window axis
desc_text = H(2); % handle to first line of text sequence
signal_axis = H(3); % signal axis
lr_text = H(4); % text displaying value of learning rate
lr_bar = H(5); % learning rate slider
delay_bar = H(6); % text displaying value of momentum constant
delay_text = H(7); % momentum constant slider
dc_line = H(8); % dc line in signal axis
w_ptr = H(9); % Pointer to current weights
P_ptr = H(10); % Pointer to network input data
T_ptr = H(11); % Pointer to network target data
show_s = H(12); % "Show signals" radio button
show_e = H(13); % "Show error" radio button
e_line = H(14); % Estimated signal line in signal axis
t_line = H(15); % Target line in signal axis
d_line = H(16); % Difference line in signal axis
S_ptr = H(17); % Original signal
end
%==================================================================
% Activate the window.
%
% ME() or ME('')
%==================================================================
if strcmp(cmd,'')
if fig
figure(fig)
set(fig,'visible','on')
else
feval(me,'init')
end
%==================================================================
% Close the window.
%
% ME() or ME('')
%==================================================================
elseif strcmp(cmd,'close') & (fig)
delete(fig)
%==================================================================
% Initialize the window.
%
% ME('init')
%==================================================================
elseif strcmp(cmd,'init') & (~fig)
% CHECK FOR FILES
if ~nnfexist(me),return,end
% CONSTANTS
delays = 10;
max_delays = 20;
N = 3.33; % Samples per cycle
f = 60; % Frequency of noise
s = N*f; % Samples per second
ts = s*max_t+1; % Number of samples
A1 = 1.0; % Gain on noise signal #1
theta1 = pi/2; % Phase shift of noise signal #1
A2 = 0.75; % Gain on noise signal #2
theta2 = pi/2.5; % Phase shift of noise signal #2
load('eegdata')
k = 0.00001; % Signal amplitude
signal = k*eegdata(1:ts); % Signal
i = 1:ts;
noise1 = 1.20*sin(2*pi*(i-1)/N);
noise2 = 0.60*sin(4*pi*(i-1)/N);
noise = noise1 + noise2;
filtered_noise1 = A1*1.20*sin(2*pi*(i-1)/N + theta1);
filtered_noise2 = A2*0.60*sin(4*pi*(i-1)/N + theta2);
filtered_noise = filtered_noise1 + filtered_noise2;
noisy_signal = signal + filtered_noise;
w = [0 -2];
time = [1:ts]/ts*max_t; % Simulation time points
% THE FUNCTION
P = [];
len_noise = length(noise);
for i=1:(max_delays+1)
P = [P; zeros(1,i-1) noise(1:(len_noise-i+1))];
end
T = noisy_signal(1:ts);
% NEW DEMO FIGURE
fig = nndemof2(me,'DESIGN','EEG Noise Cancellation','','Chapter 10');
set(fig, ...
'windowbuttondownfcn',nncallbk(me,'down'), ...
'BackingStore','off',...
'nextplot','add');
H = get(fig,'userdata');
fig_axis = H(1);
desc_text = H(2);
% ICON
nndicon(10,458,363,'shadow')
% SLIDE BARS
lr = 0.02;
lr_min = 0;
lr_max = 0.2;
text(30,140,'Learning Rate:',...
'color',nndkblue,...
'fontw','bold',...
'fontsize',12,...
'horizontalalignment','left')
lr_text = text(340,140,num2str(lr),...
'color',nndkblue,...
'fontw','bold',...
'fontsize',12,...
'horizontalalignment','right');
text(30,95,'0.0',...
'color',nndkblue,...
'fontw','bold',...
'fontsize',12,...
'horizontalalignment','left')
text(340,95,'0.2',...
'color',nndkblue,...
'fontw','bold',...
'fontsize',12,...
'horizontalalignment','right');
lr_bar = uicontrol(...
'units','points',...
'position',[30 110 310 16],...
'style','slider',...
'backg',nnltgray,...
'callback',[me '(''lr'')'],...
'min',lr_min,...
'max',lr_max,...
'value',lr);
text(30,70,'Delays:',...
'color',nndkblue,...
'fontw','bold',...
'fontsize',12,...
'horizontalalignment','left')
delay_text = text(340,70,num2str(delays),...
'color',nndkblue,...
'fontw','bold',...
'fontsize',12,...
'horizontalalignment','right');
text(30,25,'0',...
'color',nndkblue,...
'fontw','bold',...
'fontsize',12,...
'horizontalalignment','left')
text(340,25,'20',...
'color',nndkblue,...
'fontw','bold',...
'fontsize',12,...
'horizontalalignment','right');
delay_bar = uicontrol(...
'units','points',...
'position',[30 40 310 16],...
'style','slider',...
'backg',nnltgray,...
'callback',[me '(''delays'')'],...
'value',delays,...
'min',0,...
'max',20);
% SIGNAL AXIS
color_order = [nnred; nndkblue; nngreen; [1 0 1]];
signal_axis = axes(...
'units','points',...
'position',[48 210 300 120],...
'box','on', ...
'color',nnltyell, ...
'xcolor',nndkblue, ...
'ycolor',nndkblue, ...
'zcolor',nndkblue, ...
'fontsize',10,...
'nextplot','add',...
'colororder',color_order,...
'xlim',[0 max_t],...
'ylim',[-2.1 2.1]);
xlabel('Time');
set(get(signal_axis,'xlabel'),'fontw','bold')
ylabel('Amplitude');
set(get(signal_axis,'ylabel'),'fontw','bold')
title('Original (blue) and Estimated (red) Signals')
set(get(signal_axis,'title'),...
'color',nndkblue,...
'fontw','bold',...
'fontsize',12)
d_line = line(time,time*0,...
'visible','off',...
'erasemode','none',...
'color',nnred);
t_line = line(time,signal,...
'erasemode','none',...
'color',nnltyell);
e_line = line(time,time*0,...
'erasemode','none',...
'color',nnltyell);
dc_line = plot3([0 max_t],[0 0],[1 1],'--',...
'color',nndkblue,...
'erasemode','none');
set(get(signal_axis,'xlabel'),'fontw','bold','color',nndkblue)
set(get(signal_axis,'ylabel'),'fontw','bold','color',nndkblue)
set(get(signal_axis,'zlabel'),'fontw','bold','color',nndkblue)
view(2)
% RADIO BUTTONS
show_s = uicontrol(...
'units','points',...
'position',[100 155 70 20],...
'style','radiobutton',...
'string','Signals',...
'callback',[me '(''show_s'')'],...
'background',nnltgray,...
'value',1);
show_e = uicontrol(...
'units','points',...
'position',[230 155 100 20],...
'style','radiobutton',...
'string','Difference',...
'callback',[me '(''show_e'')'],...
'background',nnltgray,...
'value',0);
% BUTTONS
uicontrol(...
'units','points',...
'position',[400 110 60 20],...
'string','Contents',...
'callback','nndtoc')
uicontrol(...
'units','points',...
'position',[400 75 60 20],...
'string','Close',...
'callback',[me '(''close'')'])
% DATA POINTERS
w_ptr = uicontrol(...
'visible','off',...
'userdata',w);
P_ptr = uicontrol(...
'visible','off',...
'userdata',P);
T_ptr = uicontrol(...
'visible','off',...
'userdata',T);
s_line_ptr = uicontrol(...
'visible','off',...
'userdata',[]);
S_ptr = uicontrol(...
'visible','off',...
'userdata',signal);
% SAVE WINDOW DATA AND LOCK
H = [fig_axis desc_text signal_axis ...
lr_text lr_bar delay_bar delay_text dc_line w_ptr ...
P_ptr T_ptr show_s show_e e_line t_line d_line S_ptr];
set(fig,'userdata',H,'nextplot','new')
% INSTRUCTION TEXT
feval(me,'instr');
% UPDATE PLOTS
cmd = 'update';
% LOCK WINDOW
set(fig,'nextplot','new','color',nnltgray)
nnchkfs;
%==================================================================
% Display the instructions.
%
% ME('instr')
%==================================================================
elseif strcmp(cmd,'instr') & (fig)
nnsettxt(desc_text,...
'An EEG signal has', ...
'been contaminated', ...
'with noise.',...
'',...
'An adaptive linear', ...
'network is used to', ...
'remove the noise.', ...
'',...
'Use the sliders to set', ...
'the learning rate and', ...
'the number of delays.',...
'',...
'Use the radio buttons',...
'to select the original',...
'and estimated signals,',...
'or their difference.')
%==================================================================
% Respond to new learning rate.
%
% ME('lr')
%==================================================================
elseif strcmp(cmd,'lr') & (fig)
% CHANGE LR TEXT
lr = get(lr_bar,'value');
lr = round(lr*100)/100;
set(lr_text,'string',num2str(lr))
cmd = 'update';
%==================================================================
% Respond to new delays.
%
% ME('delays')
%==================================================================
elseif strcmp(cmd,'delays') & (fig)
% CHANGE MC TEXT
delays = get(delay_bar,'value');
set(delay_text,'string',num2str(round(delays)))
% UPDATE PLOTS
cmd = 'update';
%==================================================================
% Respond to request to show signals.
%
% ME('show_s')
%==================================================================
elseif strcmp(cmd,'show_s') & (fig)
% TURN OFF OTHER RADIO BUTTON
set(show_e,'value',0)
% HIDE DIFFERENCE PLOT
set(d_line,'color',nnltyell);
set(d_line,'visible','off')
set(dc_line,'color',nndkblue);
% SHOW SIGNAL PLOTS
set(t_line,...
'color',nndkblue,...
'visible','on')
set(e_line,...
'color',nnred,...
'visible','on')
% SHOW SIGNAL TITLE
set(get(signal_axis,'title'),...
'string','Original (blue) and Estimated (red) Signals')
%==================================================================
% Respond to request to show errors.
%
% ME('show_e')
%==================================================================
elseif strcmp(cmd,'show_e') & (fig)
% TURN OFF OTHER RADIO BUTTON
set(show_s,'value',0)
% HIDE SIGNAL PLOTS
set(t_line,'color',nnltyell);
set(t_line,'visible','off')
set(e_line,'color',nnltyell);
set(e_line,'visible','off')
set(dc_line,'color',nndkblue);
% SHOW SIGNAL PLOTS
set(d_line,...
'color',nnred,...
'visible','on')
% SHOW DIFFERENCE TITLE
set(get(signal_axis,'title'),...
'string','Difference between Original and Estimated Signals')
%==================================================================
end
%==================================================================
% Respond to request to update displays.
%
% ME('update')
%==================================================================
if strcmp(cmd,'update') & (fig)
% GET DATA
P = get(P_ptr,'userdata');
T = get(T_ptr,'userdata');
S = get(S_ptr,'userdata');
w = get(w_ptr,'userdata');
lr = get(lr_bar,'value');
delays = round(get(delay_bar,'value'));
lr = round(lr*100)/100;
% NUMBER OF DELAYS
R = delays + 1;
P = P(1:R,:);
% GET READY TO ADAPT
w = zeros(1,R); % Initial weights
q = size(P,2); % Number of timesteps
a = zeros(1,q); % Network output over time
e = zeros(1,q); % Network error over time
time = [1:q]/q*max_t; % Simulation time points
% ADAPTING
for i=1:q
p = P(:,i);
a(i) = w*p;
e(i) = T(i) - a(i);
dw = lr*e(i)*p';
w = w + dw;
W(:,i) = w';
end
% CLEAR SIGNAL AXIS
axes(signal_axis)
set(e_line,'color',nnltyell);
set(t_line,'color',nnltyell);
set(d_line,'color',nnltyell);
set(dc_line,'color',nndkblue);
drawnow
% NEW SIGNALS
axes(signal_axis)
ylim = [-2 2];
ymin = ylim(1);
ymax = ylim(2);
set(d_line,...
'ydata',max(ymin,min(ymax,S-e)),...
'color',nnred);
set(t_line,...
'color',nndkblue);
set(e_line,...
'ydata',max(ymin,min(ymax,e)),...
'color',nnred);
end
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