SAMPLING THEOREM: 
In the field of digital signal processing, the sampling theorem is a fundamental bridge between continuous-time signals (often called "analog signals") and discrete-time signals (often called "digital signals").
To understand sampling theorem the following matlab code is useful.
MATLAB CODE:
In the field of digital signal processing, the sampling theorem is a fundamental bridge between continuous-time signals (often called "analog signals") and discrete-time signals (often called "digital signals").
To understand sampling theorem the following matlab code is useful.
MATLAB CODE:
%Program for
sampling theorem 
f1=1/128; 
f2=5/128; 
n=0:255; 
fc=50/128; 
x=cos(2*pi*f1*n)+cos(2*pi*f2*n); 
xa=cos(2*pi*fc*n); 
xamp=x.*xa; 
subplot(2,2,1); 
plot(n,x); 
title('x(n)'); 
xlabel('Sn-->'); 
ylabel('Amplitude'); 
subplot(2,2,2); 
plot(n,xa); 
title('xa(n)'); 
xlabel('n-->'); 
ylabel('Amplitude'); 
subplot(2,2,3); 
plot(n,xamp); 
xlabel('n-->'); 
ylabel('Amplitude'); 
 For MORE DETAILS CLICK HERE

 
No comments:
Post a Comment