-
Notifications
You must be signed in to change notification settings - Fork 1
/
weight_analysis.m
36 lines (32 loc) · 896 Bytes
/
weight_analysis.m
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
function weight_analysis(ann, Parameters)
% Analyse the weight patterns
%
% A. Vlissidis
weights = zeros(Parameters.channels, Parameters.AnnLength(1));
% Plot the weights of the FIR filters
figure;
for Channel = 1:Parameters.channels
i = 0;
for n = Channel:Parameters.channels:...
(numel(ann.IW{1}) - (Parameters.channels) + Channel)
i = i + 1;
weights(Channel,i) = ann.IW{1}(n);
end
subplot(Parameters.channels, 1, Channel);
plot(weights(Channel, :));
end
% Plot the phase response of the FIR filters
figure;
for Channel = 1:Parameters.channels
subplot(Parameters.channels, 1, Channel);
phasez(weights(Channel, :), 1, Parameters.AnnLength(1));
end
figure;
[phi, f] = phasedelay(weights(1, :), 1, 512, 1e5);
plot(f/1000, phi);
mean(weights(1, :))
mean(weights(2, :))
mean(weights(3, :))
% mean(weights(4, :))
% mean(weights(5, :))
end