# how to plot the signal maintained in frequency domain in 3d i tried but as you can see its not what i want :(

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t=-10:0.1:10;

C=0;

t0=1;

T=t/t0;

A=1+(1i.*C);

fymax=4.5.*pi;

B=T.^2;

ut=exp((-0.5.*A.*B)+(4.5i*pi*exp(-A.*B)));

%-----figure 1--------------

plot(t,abs(ut))

xlabel('normalized time')

ylabel('spectral intensity')

% -----figure 2------------

figure

I=fftshift(fft(ut));

S=I.^2;

plot(abs(S))

xlabel('normalized frequency')

ylabel('spectral intensity')

%%%%

figure

z=-10:0.1:10;

plot3(z,t,S)

grid on

axis square

##### 0 Comments

### Answers (2)

Walter Roberson
on 6 Dec 2013

You didn't say anything about what you want it to look like.

Your C is a scalar, so A is a scalar.

Your t0 is a scalar, your t is a vector, so T is a vector, so your B is a vector.

A.*B is scalar times vector, so it is a vector, so both sides of the "+" in the exp() are vectors. So ut is a vector.

With ut being a vector, fft(ut) is a vector, fftshift() of a vector is a vector, so I is a vector. Vector individually squared is vector so S is a vector.

Your z is a vector. Your t is a vector. Your S is a vector. Therefore your plot3() will be a single 3D line, not a surface or a series of mesh lines. Your plot3() is not gaining any visualization power relative to plot(), as the value being plotted (S) in no way depends upon z.

Wayne King
on 6 Dec 2013

Edited: Wayne King
on 6 Dec 2013

"ok let me ask y ou something different if i want the values of the frequency obtained due to fft but i only have the given as shown in the code the time can i obtain the values of the frequency after the fft?? can u tell me how??"

t=-10:0.1:10;

t0=1;

T=t/t0;

A=1+(1i.*C);

B=T.^2;

ut=exp((-0.5.*A.*B)+(4.5i*pi*exp(-A.*B)));

subplot(211)

plot(t,real(ut)); title('Real Part - ut');

subplot(212)

plot(t,imag(ut)); title('Imaginary Part - ut');

Your signal ut is sampled at time intervals of 0.1 (seconds), so that means the DFT will be periodic in frequency with a period of 10 Hz. The frequency increment (spacing) between the DFT bins is Fs/N where Fs is the sampling frequency - here 10 Hz and the length of the input signal, ut.

figure;

udft = fftshift(fft(ut));

dt = 0.1;

df = 1/(length(ut)*dt);

Fs = 1/dt;

freqvec = -Fs/2+df:df:Fs/2;

plot(freqvec,abs(udft));

xlabel('Hz'); ylabel('|U(f)|');

##### 5 Comments

Walter Roberson
on 7 Dec 2013

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