how to do implement difference equation in matlab
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Hi i am stuck with this question
Write a MATLAB program to simulate the following difference equation 8y[n] - 2y[n-1] - y[n-2] = x[n] + x[n-1] for an input, x[n] = 2n u[n] and initial conditions: y[-1] = 0 and y[0] = 1
(a) Find values of x[n], the input signal and y[n], the output signal and plot these signals over the range, -1 = n = 10.
The book has told to user filter command or filtic
my code is down kindly guide me about initial conditions
6 个评论
Fangjun Jiang
2011-11-15
编辑:Walter Roberson
2021-3-5
My advice:
2. Use proper punctuation mark, e.g. comma, period, question mark.
3. Read your own question again after posting, e.g. what is x[n] = 2n u[n]?
4. Update your question with comments, not answers.
Ahmed ElTahan
2016-3-25
编辑:Ahmed ElTahan
2016-3-25
Here is a function I have built to calculate it with added example. https://www.mathworks.com/matlabcentral/fileexchange/56142-output-estimation-difference-equation
Micah
2025-5-5
@Fangjun Jiang You are annoying
回答(5 个)
Honglei Chen
2011-11-14
I think your b is incorrect, it should be [1 1] instead. To accommodate for the initial value of y and x, you need to translate them into the corresponding filter state. filter command is an implementation of direct form II transpose, so you can use filtic to convert y and x to the state.
Here is an example, where n runs from 1 to 10. Based on you example, x[0] is 1.
n = 1:10;
a = [8 -2 -1];
b = [1 1];
yi = [1 0];
xi = 1;
zi = filtic(b,a,yi,xi)
y = filter(b,a,2.^n,zi)
BTW, I doubt if the input is really 2.^n as this becomes unbounded very quickly. Are you sure it's not 2.^(-n)?
HTH
8 个评论
Honglei Chen
2011-11-14
移动:DGM
2023-2-26
You are on the right track in general, but there are two things I want to point out:
- If your x is 2*n, then x(0) is 0.
- You already have y[0], y[-1], x[0], x[-1], so you don't need to compute them again.
Basically you should update your code to use
n = 1:10
and
xi = 0
This way, the y you get is y(1) through y(10). You can then concatenate y(0) and y(-1) to y to form the total vector. Similar things can be done for x too.
HTH
Walter Roberson
2011-11-15
移动:DGM
2023-2-26
You are working on a homework question. You do the best you can and if *you* cannot find an errors in your work, then you submit your answer and take your chances.
Have you considered working the results out manually and comparing them to the computed results?
Honglei Chen
2011-11-16
移动:DGM
2023-2-26
I think what Walter suggests is a great way to proceed. Or you can do a program, as Fangjun suggested to output the result using a program and see if the two approaches agree. Debug and verification is just as important as programming.
BTW I think I mention in my post that you have issue with your coefficient and that is not fixed yet.
Aditya Kumar Singh
2020-11-17
移动:DGM
2023-2-26
use stem instead of plot... you should get the correct waveform after that
Mohazam Awan
2017-10-10
%%DSP LAb Task 4
% Difference equation implementation in matlab
%
clc
clear all
close all
% using filter function
n=-5:1:10;
index=find(n==0);
x=zeros(1,length(n));
x(index)=1;
subplot(2,2,1)
stem(n,x)
grid on
axis tight
b=[1 0];
a=[1 -2];
y=filter(b,a,x);
subplot(2,2,2)
stem(n,y,'filled','r')
grid on
axis tight
% Now without filter function
y1=zeros(1,length(n));
for i=1:length(n)
if(n(i)<0)
y1(i)=0;
end
if (n(i)>=0)
y1(i)=2*y1(i-1)+x(i);
end
end
subplot(2,2,3)
stem(n,y1,'filled','k')
grid on
axis tight
Fangjun Jiang
2011-11-14
0 个投票
It might be a filter. But I thought all the assignment was asking you to do is to write a for-loop to generate the y series data based on the equation and the initial conditions.
BHOOMIKA MS
2024-12-4
0 个投票
% Define the symbolic variable syms z n
% Define the Z-transform of the right-hand side 2^n rhs_z = 1 / (1 - 2*z^(-1));
% Define the left-hand side: Y(z) - 2z^(-1)Y(z) + z^(-2)Y(z) lhs_z = (1 - 2*z^(-1) + z^(-2)) * sym('Y(z)');
% Set up the equation for Y(z) eq = lhs_z == rhs_z;
% Solve for Y(z) Y_z = solve(eq, 'Y(z)');
% Simplify the expression for Y(z) Y_z_simplified = simplify(Y_z);
% Perform partial fraction decomposition on Y(z) Y_z_decomp = partfrac(Y_z_simplified, z);
% Display the decomposed Y(z) disp('Decomposed Y(z):'); disp(Y_z_decomp);
% Now take the inverse Z-transform for each term y_n = iztrans(Y_z_decomp);
% Display the time-domain solution y(n) disp('The time-domain solution y(n) is:'); disp(y_n);
% Create a numerical sequence for plotting % Define the range for n (e.g., n from 0 to 10) n_values = 0:10;
% Evaluate y(n) for each n using subs (substitute n into the expression) y_values = double(subs(y_n, n, n_values));
% Plot the solution figure;
% Plot y(n) stem(n_values, y_values, 'filled', 'LineWidth', 2); title('Time-domain solution y(n)'); xlabel('n'); ylabel('y(n)'); grid on;
% Add labels to the graph for clarity text(0, y_values(1), ['y(0) = ', num2str(y_values(1))], 'VerticalAlignment', 'bottom', 'HorizontalAlignment', 'right');
BHOOMIKA MS
2024-12-4
0 个投票
% Define the symbolic variable syms z n
% Define the Z-transform of the right-hand side 2^n rhs_z = 1 / (1 - 2*z^(-1));
% Define the left-hand side: Y(z) - 2z^(-1)Y(z) + z^(-2)Y(z) lhs_z = (1 - 2*z^(-1) + z^(-2)) * sym('Y(z)');
% Set up the equation for Y(z) eq = lhs_z == rhs_z;
% Solve for Y(z) Y_z = solve(eq, 'Y(z)');
% Simplify the expression for Y(z) Y_z_simplified = simplify(Y_z);
% Perform partial fraction decomposition on Y(z) Y_z_decomp = partfrac(Y_z_simplified, z);
% Display the decomposed Y(z) disp('Decomposed Y(z):'); disp(Y_z_decomp);
% Now take the inverse Z-transform for each term y_n = iztrans(Y_z_decomp);
% Display the time-domain solution y(n) disp('The time-domain solution y(n) is:'); disp(y_n);
% Create a numerical sequence for plotting % Define the range for n (e.g., n from 0 to 10) n_values = 0:10;
% Evaluate y(n) for each n using subs (substitute n into the expression) y_values = double(subs(y_n, n, n_values));
% Plot the solution figure;
% Plot y(n) stem(n_values, y_values, 'filled', 'LineWidth', 2); title('Time-domain solution y(n)'); xlabel('n'); ylabel('y(n)'); grid on;
% Add labels to the graph for clarity text(0, y_values(1), ['y(0) = ', num2str(y_values(1))], 'VerticalAlignment', 'bottom', 'HorizontalAlignment', 'right');
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