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.
댓글 수: 2
Azzi Abdelmalek
2014년 5월 16일
What is the desired result?
답변 (2개)
David Sanchez
2014년 5월 16일
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
댓글 수: 3
Azzi Abdelmalek
2014년 5월 16일
This is not what he asked for
ANWESHA
2014년 5월 16일
ANWESHA
2014년 5월 16일
Image Analyst
2014년 5월 16일
0 개 추천
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.
댓글 수: 2
ANWESHA
2014년 5월 16일
Image Analyst
2014년 5월 16일
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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