Sampling and Aliasing

Hello Dear Steemian, I want to give a tutorial pemograman sampling and aliasing that I created using matlab. certainly no stranger to a programmer hears the word Matlab. i will explain a little history about Matlab. MATLAB (Matrix Laboratory) is a numerical computing environment that is the fourth generation computer programming language. Matlab was created by Cleve moler in 1970. Moler with Steve bangert rewrote matlab in C programming and founded The MathWorks in 1984 to continue its development. and then in 2000, MATLAb was rewritten with the use of a new set of libraries for matrix manipulation. This is a tutorial sampling and Aliasing using Matlab.

Observation Effect Selection of Visual Frequency Sampling

Program :

clear; % clears the contents of the variable
clc; % cleans the screen
Fs = 8;% sampling frequency
t = (0: Fs-1) / Fs;% normalization process
s1 = sin (2 * pi * t * 2);
subplot (211)
stem (t, s1)
axis ([0 1 -1.2 1.2])
Fs = 16;% sampling frequency
t = (0: Fs-1) / Fs;% normalization process
s2 = sin (2 * pi * t * 2);
subplot (212)
stem (t, s2)
axis ([0 1 -1.2 1.2])

Output

Make changes to the value of Fs, on signal s1 so that it is worth 10, 20 and 30.

Changing the Fs value by 10

clear; % clears the contents of the variable
clc; % cleans the screen
Fs = 10;% sampling frequency
t = (0: Fs-1) / Fs;% normalization process
s1 = sin (2 * pi * t * 2);
subplot (211)
stem (t, s1)
axis ([0 1 -1.2 1.2])
Fs = 16;% sampling frequency
t = (0: Fs-1) / Fs;% normalization process
s2 = sin (2 * pi * t * 2);
subplot (212)
stem (t, s2)

axis ([0 1 -1.2 1.2])

Output

Changing the Fs value by 20

clear; % clears the contents of the variable
clc; % cleans the screen
Fs = 20;% sampling frequency
t = (0: Fs-1) / Fs;% normalization process
s1 = sin (2 * pi * t * 2);
subplot (211)
stem (t, s1)
axis ([0 1 -1.2 1.2])
Fs = 16;% sampling frequency
t = (0: Fs-1) / Fs;% normalization process
s2 = sin (2 * pi * t * 2);
subplot (212)

stem (t, s2)
axis ([0 1 -1.2 1.2])

Output

Changing the Fs value by 30

clear; % clears the contents of the variable
clc; % cleans the screen
Fs = 30;% sampling frequency
t = (0: Fs-1) / Fs;% normalization process
s1 = sin (2 * pi * t * 2);
subplot (211)
stem (t, s1)
axis ([0 1 -1.2 1.2])
Fs = 16;% sampling frequency
t = (0: Fs-1) / Fs;% normalization process
s2 = sin (2 * pi * t * 2);
subplot (212)
stem (t, s2)
axis ([0 1 -1.2 1.2])