Using the DFT: Difference between revisions

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clear all;
clear all;

t=0:.01:2;
t=0:.01:2;

T=1/3;
T=1/3;

ts=0:T:2;
ts=0:T:2;

f1=2;
f1=2;

f2=1/0.125;
f2=1/0.125;

x = sin(2*pi*ts); %this is the function
x = sin(2*pi*ts); %this is the function

plot(ts,sin(2*pi*ts),'r-',t,sin(2*pi*t)); % plot the original signal and the signal sampled at 3Hz
plot(ts,sin(2*pi*ts),'r-',t,sin(2*pi*t)); % plot the original signal and the signal sampled at 3Hz

X = fft(x); % take the DFT
X = fft(x); % take the DFT

pause (2);
pause (2);

plot (ts,X); %plot the DFT of the signal sampled at 3Hz
plot (ts,X); %plot the DFT of the signal sampled at 3Hz

pause (4);
pause (4);

x=sin(2*pi*t);
x=sin(2*pi*t);

plot(t,x);
plot(t,x);

pause(2);
pause(2);

X = fft(x);
X = fft(x);

plot(t,X); %plot the DFT of the original signal
plot(t,X); %plot the DFT of the original signal

Revision as of 10:11, 27 November 2007

sampling and taking the DFT we get this graph:

Signals-13.jpg



Script for matlab:

clear all;

t=0:.01:2;

T=1/3;

ts=0:T:2;

f1=2;

f2=1/0.125;

x = sin(2*pi*ts); %this is the function

plot(ts,sin(2*pi*ts),'r-',t,sin(2*pi*t)); % plot the original signal and the signal sampled at 3Hz

X = fft(x); % take the DFT

pause (2);

plot (ts,X); %plot the DFT of the signal sampled at 3Hz

pause (4);

x=sin(2*pi*t);

plot(t,x);

pause(2);

X = fft(x);

plot(t,X); %plot the DFT of the original signal