John Michell answered . 2024-05-17 20:38:47

D = load('Andy Tek PleaseClean.mat');

s  = D.PleaseClean;
Fs = 1024;                                                              % Sampling Frequency (Hz)
Fn = Fs/2;                                                              % Nyquist Frequency
L  = size(s,1);
t = linspace(0, 1, L)/Fs;                                               % Sampling Time (s)

Smean = mean(s);
Sstd  = std(s);
CE95  = bsxfun(@plus, Smean, bsxfun(@times,Sstd*1.96,[-1  1]'));

[maxs,idx] = max(s);
sLen = min(idx-10);
s = s(1:sLen,:);
t = t(1:sLen);

figure(1)
subplot(3,1,1)
plot(t, s(:,1))
axis([xlim    0.001*CE95(:,1)'])
grid
subplot(3,1,2)
plot(t, s(:,2))
axis([xlim    0.001*CE95(:,2)'])
grid
subplot(3,1,3)
plot(t, s(:,3))
axis([xlim    CE95(:,3)'])
grid

Q1 = s(1:5,:);                                                          % Look

fts = fft(s)/sLen;
Fv = linspace(0, 1, fix(sLen/2)+1)*Fn;
Iv = 1:length(Fv);

figure(2)
subplot(3,1,1)
plot(Fv, abs(fts(Iv,1))*2)
axis([0  100    0  1E-1])
grid
subplot(3,1,2)
plot(Fv, abs(fts(Iv,2))*2)
axis([0  100    0  1E-1])
grid
subplot(3,1,3)
plot(Fv, abs(fts(Iv,3))*2)
axis([0  100    0  1E-4])
grid

Wp =  50/Fn;
Ws =  75/Fn;
Rp = 10;
Rs = 50;
[n,Wn] = buttord(Wp, Ws, Rp, Rs);
[b,a] = butter(n,Wn);
[sos,g] = tf2sos(b,a);

figure(3)
freqz(sos, 2048, Fs)

sf = filtfilt(sos,g,s);
Q2 = sf(1:5,:);                                                         % Look

figure(4)
subplot(3,1,1)
plot(t, sf(:,1))
axis([xlim    0.001*CE95(:,1)'])
grid
subplot(3,1,2)
plot(t, sf(:,2))
axis([xlim    0.001*CE95(:,2)'])
grid
subplot(3,1,3)
plot(t, sf(:,3))
axis([xlim    CE95(:,3)'])
grid

figure(5)
plot3(sf(:,1), sf(:,2), sf(:,3))
grid on

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