Codes used in the video:
1)
DFT as sampled version of DTFT:
clc
clear all
close all
n=-20:21;
xn=cos(2*pi*0.2*n);
w=0:0.01:pi;
for i=1:length(w)
xw(i)=sum(xn.*exp(-1i*w(i)*n));
end
plot(w,abs(xw));
hold on;
N=42;
y=fft(xn,42);
y=y(1:(N/2)+1);
k=0:N/2;
stem(2*pi*k/N,abs(y));
2)
Zero padding concept:
clc
clear all
close all
n=-20:21;
xn=cos(2*pi*0.2*n);
N=512;
y=fft(xn,N);
y=y(1:(N/2)+1);
k=0:N/2;
plot(2*pi*k/N,abs(y));
Prerequisite 1:
Plot the magnitude plot of Discrete Time Fourier Transform | MATLAB
• Plot the magnitude plot of Discrete Time F...
Prerequisite 2:
Interpreting the DFT | MATLAB
• Interpreting the DFT | MATLAB
Prerequisite 3:
FAST FOURIER TRANSFORM in MATLAB
• FAST FOURIER TRANSFORM in MATLAB
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