clear
N=3584;
n=0:3584
ts=.0002;
fs=1/ts
ts1=0.02
f=1/(N*ts);
t=[0:N-1]*ts;
g=input('enter the frequency required')
ref=3*sin(2*pi()*g*t)
figure
plot(t,ref),axis tight
fref=abs(fft(ref))
figure
plot(abs(fref))
axis tight
x=xlsread('41hz.xlsx')
figure
plot(x),grid on
axis tight
Xf=abs(fft(x));
f1=[0:N-1]*f
plot(f1,abs(Xf)),grid on
axis tight
n_2=ceil(N/2)
figure
plot(f1(1:n_2),abs(Xf(1:n_2))),grid on
Prashant Kumar answered . 2024-05-17 20:01:56
ere is the corrected code that computes fft and plots accordingly.
N=3584; g=50;
ts=.0002;
fs=1/ts;
t=[0:N-1]*ts;
L = numel(t); % Length of your signal
f = fs*(0:(L/2))/L; % Frequency values
ref=3*sin(2*pi()*g*t);
figure
plot(t,ref),axis tight, title('Time domain signal')
fref=abs(fft(ref));
figure
plot(f, abs(fref(1:N/2+1))); % plot f vs. spectrum magnitude
xlim([0, 100])
%% Working with your measured/sampled data
DATA = xlsread('DATA_ES.xlsx', 'Sheet2');
L = numel(DATA(:, 1)); % Length of the signal
figure
ts=.0002; fs=1/ts;
Xf=abs(fft(DATA(:,1))); % Assuming Column 1 contains frequency response data
f=fs*(0:(L/2))/L;
n_2=ceil(N/2);
plot(f,abs(Xf(1:n_2+1))),grid on
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