how to plot conditional statement like when Vin=1, Vout=exp(-t/tn) and for Vin =0, Vout=1-exp(-t/tp) where Vin is a periodic square pulse.
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i have tried as follows:
f=input('please enter the value of time');
t = 0:.00001*f:(1-.00001)*f;
fm=2/f;
Vin = .5+0.5*square(2*pi*fm*t);
subplot(211);
plot(t,Vin)
Vdd=5;
Rn=2000;
Rp=3000;
C=0.1e-9;
Tn=Rn*C;
Tp=Rp*C;
V1=Vdd.*(exp(-t/Tn));
V0=Vdd*(1-exp(-t/Tp));
Vout=V1;
Vout(Vin<1)=V0(Vin<1);
subplot(212)
plot(t,Vout)
the problem is that for very small value of f, like f=.00000001 the desired graph is not obtained. Even for values like f=0.001, the gradual decay or rise that is expected is not obtained. please help.
2 comentarios
Azzi Abdelmalek
el 16 de Mayo de 2014
What is the desired result?
Respuestas (2)
David Sanchez
el 16 de Mayo de 2014
statement like when Vin=1, Vout=exp(-t/tn) and for Vin =0, Vout=1-exp(-t/tp):
if (Vin == 1)
Vout=exp(-t/tn);
elseif (Vin == 0)
Vout=1-exp(-t/tp);
end
3 comentarios
Azzi Abdelmalek
el 16 de Mayo de 2014
This is not what he asked for
ANWESHA
el 16 de Mayo de 2014
ANWESHA
el 16 de Mayo de 2014
Image Analyst
el 16 de Mayo de 2014
0 votos
Can't you just use a convolution, conv(), or filter()? Invert the signal and apply a kernel that only looks to the left. Seems pretty straightforward.
2 comentarios
ANWESHA
el 16 de Mayo de 2014
Image Analyst
el 16 de Mayo de 2014
See Star's code which uses filter(). It is fine. No need to worry about conv() now that you have the filter() code.
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