Plot step response of transfer function

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Ye Ken Kok
Ye Ken Kok el 4 de Nov. de 2022
Editada: Ye Ken Kok el 5 de Nov. de 2022
I am trying to plot the step function of a difference equation. The equation is given by y(n) + 1/4*y(n-1) + 1/2*y(n-2) = x(n) + 1/2*x(n-1). Where x(n) is supposed to be the input and y(n) is the output. The error is as shown:
Is there no way to plot it using the step function?
Code:
num = [1 -1/4 -1/2];
den = [1 1/2];
s = step(num,den);
stem(s);
  1 comentario
Ye Ken Kok
Ye Ken Kok el 4 de Nov. de 2022
Sorry fot not including the input signal for x(n). Here is the input signal.
F1 = 20;
F2 = 40;
F3 = 60;
Fs = 2*F3;
t = 0:0.001:2-0.001;
n = 0:100;
x = 10*sin(2*pi*F1*t)+10*sin(2*pi*F2*t)+10*sin(2*pi*F3*t);
xn = 10*sin(2*pi*(F1/Fs)*n)+10*sin(2*pi*(F2/Fs)*n)+10*sin(2*pi*(F3/Fs)*n);

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Respuesta aceptada

Mathieu NOE
Mathieu NOE el 4 de Nov. de 2022
hello
you have 2 mistakes to correct
1 - how to get a z transfer function from the difference equation
your num and den are wrong (signs are wrong and you flipped num with den)
this might help
2 - you have a discrete not a continuous time model so use dstep instead of step
num = [0 1 1/2];
den = [1 1/4 1/2];
s = dstep(num,den);
stem(s);
all the best
  1 comentario
Ye Ken Kok
Ye Ken Kok el 5 de Nov. de 2022
Editada: Ye Ken Kok el 5 de Nov. de 2022
Thanks for your answer, I managed to solve it with your help

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Más respuestas (1)

Sam Chak
Sam Chak el 4 de Nov. de 2022
It is a input-output difference equation. Thus, you cannot use the continuous-time Laplace transform.
Since the input is not provided, here is just a simple example.
dt = 0.001;
t = 0:dt:20; % sample times
ykm1 = 0; % initial value of y(k - 1)
ykm2 = 0; % initial value of y(k - 2)
xkm1 = 0; % initial x(k - 1)
xk = 0; % initial x(k)
Y = []; % placeholder for y(k) array
X = []; % placeholder for x(k) array
for k = 1:length(t)
% input-output difference equation
% y(n) = - 1/4*y(n-1) - 1/2*y(n-2) + x(n) + 1/2*x(n-1)
yk = - 1/4*ykm1 - 1/2*ykm2 + 1*xk + 1/2*xkm1;
ykm2 = ykm1; % when time advances, y(k - 1) becomes y(k - 2)
ykm1 = yk; % when time advances, y(k) becomes y(k - 1)
xkm1 = xk;
xk = sin(.05*pi*t(k));
Y = [Y yk];
end
plot(t, Y, 'linewidth', 1.5), grid on

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