How can I Implement a convolution function in MATLAB and perform it on the following signals and plot the results ?

68 次查看(过去 30 天)
Hi guys,
I have the following function:
impulse_response = zeros(1, length(input) + length(delta) - 1 );
for t_samp = 1:length(input)
for c_samp = 1:length(delta)
index = t_samp + c_samp - 1;
value = delta(c_samp) * input(t_samp);
impulse_response(index) = impulse_response(index) + value;
end
end
I am new to Matlab and I want to understand how to Implement a convolution function in MATLAB and perform it on the following signals and plot the results ?
Task (1):
x[n] = [1,1,1,1] h[m] = [1,0,−1] x[n] = sin(n) h[m] = [−1,−2,8,−2,−1] 20 ≤ n < 20
Task (2): Given the input signal x[n]=0.3∗sin(n/5)+sin(n/50) : -Create your own delta signal h[m] that removes the higher frequency sinusoidal component to get yl[n].
Thanks in advance for your kind explanation.

采纳的回答

Abraham Boayue
Abraham Boayue 2018-3-16
Hey Vaban, you already got a code that implements convolution in matlab, all you need to do is to use it to solve your exercises: Alternatively, you could use matlab built in function called conv(), but it seems like your teacher wants you to learn how to code in matlab. Here is how you can use the code you have. Ex. Task 1.
% This is just a cleaner code, same as the one you posted
clear variables
close all
n = -20:20;
x = sin(n);
h = [-1,-2,8,-2,-1];
N = length(x);
M = length(h);
Ny = N + M -1;
y = zeros(1,Ny);
for i = 1:N
for k = 1:M
y(i+k-1) = y(i+k-1) + h(k)*x(i);
end
end
m = 0: Ny-1;
% Make plot
figure
stem(m,y,'linewidth',3,'color','m')
grid;
a = title('Output of an LTI System y(n)');
set(a,'fontsize',14);
a = ylabel('y(n)');
set(a,'Fontsize',14);
a = xlabel('n');
set(a,'Fontsize',14);
% Using matlab built in function (you get the same results)
figure
y2 = conv(x,h);
stem(m,y2,'linewidth',3,'color','r')
grid;
a = title('Output y(n) using conv(x,h)');
set(a,'fontsize',14);
a = ylabel('y(n)');
set(a,'Fontsize',14);
a = xlabel('n ');
set(a,'Fontsize',14);
% % input = [1 1 1 1]; % input = x (n) = [1 1 1 1]
% % delta = [1 0 -1]; % h(m) = [-1 0 1]
% impulse_response = zeros(1, length(input) + length(delta) - 1 );
% for t_samp = 1:length(input)
% for c_samp = 1:length(delta)
% index = t_samp + c_samp - 1;
% value = delta(c_samp) * input(t_samp);
% impulse_response(index) = impulse_response(index) + value;
% end
% end
% Ny = length(input) + length(delta)-1;
% y = impulse_response;
% m = 0:Ny-1;
% % plot
% stem(m,y,'linewidth',3,'color','b')
% grid;
% a = title('Output of an LTI System y(n)');
% set(a,'fontsize',14);
% a = ylabel('y(n)');
% set(a,'Fontsize',14);
% a = xlabel('n [1 4]');
% set(a,'Fontsize',14);
  3 个评论
Walter Roberson
Walter Roberson 2020-10-20
discrete convolution and discrete filtering are the same mathematical operation, but they use the opposite convention on whether the matrix is applied left-to-right or right-to-left.
>> conv([1 2 3],[1 2 3])
ans =
1 4 10 12 9
>> conv([1 2 3],fliplr([1 2 3]))
ans =
3 8 14 8 3
conv() essentially flips the second vector and moves the result from left to right across the first vector; assume that there are zeros outside the first vector. This operation is thematically consistent with continuous convolution, as opposed to

请先登录,再进行评论。

更多回答(3 个)

Abhishek Ballaney
Abhishek Ballaney 2018-3-15
编辑:Walter Roberson 2020-10-20

Ankur Agrawal
Ankur Agrawal 2021-9-21
编辑:Walter Roberson 2021-12-29
n = -20:20;
x = sin(n);
h = [-1,-2,8,-2,-1];
N = length(x);
M = length(h);
Ny = N + M -1;
y = zeros(1,Ny);
for i = 1:N
for k = 1:M
y(i+k-1) = y(i+k-1) + h(k)*x(i);
end
end
m = 0: Ny-1;

Abdullah Mohmmed
Abdullah Mohmmed 2021-12-29
Write a MATLAB code to calculate and plot the two-sided convolution between the two discrete time signals x(n) and h(n) shown below

类别

Help CenterFile Exchange 中查找有关 Startup and Shutdown 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by