Conv two continuous time functions

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DDD
DDD am 26 Mai 2015
Kommentiert: zhitao Luo am 2 Jun. 2020
given y(t) and x(t), it is asked to conv them. Note: x(t)=dirac(t-3)-dirac(t-5). The conv result should sum y(t-3)-y(t-5) but it gives me:
y=@(t) 1.0*(t>=0).*exp(-3*t);
x=@(t) 1.0*(t==3)-1.0*(t==5);
delta=0.0001;
tx=2:delta:6; %tx=(-200:300)*delta;
ty=-1:delta:1.5; % ty=(-100:300)*delta;
c=conv(y(ty),x(tx))*delta;
tc=(tx(1)+ty(1)):delta:(tx(end)+ty(end));
figure()
title('c')
subplot(3,1,1)
plot(tx,x(tx))
xlabel('n'); title('x(t)'); ylim([min(x(tx))-1,max(x(tx))+1]); grid on
subplot(3,1,2)
plot(ty,y(ty))
xlabel('n'); title('h(t)'); ylim([min(y(ty))-1,max(y(ty))+1]); grid on
subplot(3,1,3)
plot(tc,c);
xlabel('n'); title('x(t)*h(t)');ylim([min(c)-1,max(c)+1]); grid on
What can i do to solve the problem?
Thanks

Akzeptierte Antwort

Thorsten
Thorsten am 26 Mai 2015
Bearbeitet: Thorsten am 26 Mai 2015
The y-axis is too large to show the data. You can rescale them by, e.g.,
axis([1 8 -delta delta])
or with your code, use
ylim([min(c),max(c)]);
or get rid of the *delta in
c=conv(y(ty),x(tx))*delta;

Weitere Antworten (1)

Immanuel Manohar
Immanuel Manohar am 2 Okt. 2019
Your dirac Delta is wrong... you're attempting continuous time convolution but you are using unit impulse instead of dirac delta for convolution. To get the correct answer, your dirac delta approximation should have the height of 1/delta.
  1 Kommentar
zhitao Luo
zhitao Luo am 2 Jun. 2020
Hello, Immanuel Manohar, I also encountered the same problem, is there any more detailed answer?

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