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I have 1440 data of tidal elevation (24 hours recording every 1 minute), I attached my data (Book1.xlsx). My question is how can I do High Pass Filter with those data? My experience in this case is zero.

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Mathieu NOE
Mathieu NOE 2021-7-8

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hello Nabil
the code below implements low and high pass filtering
hope it helps
T = readtable('Book1.xlsx');
time = T.Var1;
y = T.Var2;
dt = 60; % seconds (data sampled every min)
Fs = 1/dt;
samples = length(y);
t = (0:samples - 1)*dt/3600; % now in hours
%%% filter data %%%
N = 20;
y_LP = smoothdata(y, 'gaussian' , N); % low pass filtered data
y_HP = y - y_LP; % high pass filtered data
%%% plot data %%%
figure(1)
subplot(211),plot(t,y,t,y_LP);legend('Raw','low pass filtered');
title(['Data samples at Fs = ' num2str(Fs) ' Hz / filtered with smoothdata' ]);
xlabel('Time (hours) ')
ylabel('Tidal depth () ')
subplot(212),plot(t,y_HP);legend('high pass filtered');
title(['Data samples at Fs = ' num2str(Fs) ' Hz / filtered with smoothdata' ]);
xlabel('Time (hours) ')
ylabel('Tidal depth () ')

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Nabil Amirul
Nabil Amirul 2021-7-9
Thank you very much sir, I am very appreciate it
Mathieu NOE
Mathieu NOE 2021-7-12
My pleasure

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