MatLab Programs
In this post the matlab code for basic DSP signal generation are available. These are tested and outputs are also added.
- Impulse signal
- Step signal (Delayed Step)
- Sine signal
- Cosine signal
- Triangular signal
- Sawtooth signal
- Exponential signals growing & decaying
Matlab code for unit
impulse signal generation:
clc;
clear all;
close all;
disp('Unit Impulse Signal Generation');
N=input('Enter no of samples: ');
n=-N:1:N;
x=[zeros(1,N),1,zeros(1,N)];
stem(n,x);
xlabel('Sample');
ylabel('Amplitude');
title('Unit Impulse Signal');
In
this, the impulse is generated by using ZEROS(x,y) function, which produces an
array of size X,Y with all elements as ZERO.
OUTPUT:
Matlab code for unit ramp signal generation:
clc;
clear
all;
close
all;
disp('Unit
Ramp Signal Generation');
N=input('Enter
no of samples: ');
a=input(' Max Amplitude: ');
n=-N:1:N;
x=a*n/N;
stem(n,x);
xlabel('Sample');
ylabel('Amplitude');
title('Unit
Ramp Signal');
OUTPUT:
Matlab code for unit step (delayed step) signal generation:
clc;
clear
all;
close
all;
disp('Delayed
Unit Step Signal Generation');
N=input('Enter
no of samples: ');
d=input('Enter delay
value: ');
n=-N:1:N;
x=[zeros(1,N+d),ones(1,N-d+1)];
stem(n,x);
xlabel('Sample');
ylabel('Amplitude');
title('Delayed
Unit Step Signal');
OUTPUT:
Matlab code for discrete
sinusoidal signal generation:
clc;
clear all;
close all;
disp('Sinusoidal Signal generation');
N=input('Enter no of samples: ');
n=0:0.1:N;
x=sin(n);
figure, stem(n,x);
xlabel('Samples');
ylabel('Amplitude');
title('Sinusoidal Signal');
The SIN(n) function
returns an array which corresponds to sine value of the array ‘n’
OUTPUT:
Matlab code for discrete
cosine signal generation:
clc;
clear all;
close all;
disp('Cosine wave generation');
N=input('Enter no of samples');
n=0:0.1:N;
x=cos(n);
figure, stem(n,x);
xlabel('Samples');
ylabel('Amplitude');
title('Cosine');
The COS(n) function
returns an array which corresponds to cosine value of the array ‘n’
OUTPUT:
Matlab code for Trinangular or Sawtooth signal generation:
clc;clear all;
n=input('Enter the no samples: ');
x=0:0.1/n:20;
s=sawtooth(x);
t=sawtooth(x,0.5); % width=0.5
for Triangular signal
subplot(2,1,1),
plot(x,s),
xlabel('Time'),
ylabel('Amplitude'),
title('Sawtooth signal');
subplot(2,1,2),
plot(x,t),title('Triangular signal'),
xlabel('Time'),
ylabel('Amplitude');
Matlab code for exponentially decaying signal generation:
clc;
clear
all;
close
all;
disp('Exponential
decaying signal');
N=input('Enter
no of samples: ');
a=1;
t=0:0.1:N;
x=a*exp(-t);
figure,plot(t,x);
xlabel('Time');
ylabel('Amplitude');
title('Exponentially
Decaying Signal');
OUTPUT:
Matlab code for exponentially
growing signal generation:
clc;
clear all;
close all;
disp('Exponential growing signal');
N=input('Enter no of samples: ');
a=1;
t=0:0.1:N;
x=a*exp(t);
figure,stem(t,x);
xlabel('Time');
ylabel('Amplitude');
title('Exponentially Decaying Signal');
OUTPUT:
Viewers comments are encouraged.
This helps us to much more.
Thank you!!!
Great Work ............
ReplyDeletesuperb note.its an easy understanding note
ReplyDeletevery use full
ReplyDeletethanx very useful
ReplyDeleteThis wwas lovely to read
ReplyDelete