- #1
entropy1
Gold Member
- 1,206
- 70
What does a 180 degree phase shift of a sinusoidal in a signal do to the frequency spectrum of the signal?
What do you think and why?What does a 180 degree phase shift of a sinusoidal in a signal do to the frequency spectrum of the signal?
I think a wield of various harmonics due to the energy in the signal at the phase shift. What I'm interested in is what the frequency spectrum looks like in that case.What do you think and why?
We can assume a single sinusoid with a 180 degree phase shift exactly in the middle of the signal.OK, so if it get you right, you are talking about a complex waveform and ALL of the various frequencies are magically phase shifted exactly 180 degrees, yes?
Or do you mean that you have a complex waveform and ONE of the components gets phase shifted?
That doesn't answer my questionWe can assume a single sinusoid with a 180 degree phase shift exactly in the middle of the signal.![]()
I think I don't know what you mean then...That doesn't answer my question
Do you mean a pure sine wave that has a discontinuity with a sudden phase change?I think I don't know what you mean then...
FAPP, I mean a dicrete signal with a sinosoid with phase change in it.
Precisely.Do you mean a pure sine wave that has a discontinuity with a sudden phase change?
I don't know about entropy1 but that's all Greek to me.The initial signal has ## \tilde{F}(\omega)=A_o \delta(\omega-\omega_o) ##, and the same signal with a phase shift ## \phi ## has ## \tilde{F}(\omega)=A_o e{\i \phi} \delta(\omega-\omega_o) ##. The energy density ## U(\omega) ## is proportional to ## |\tilde{F}(\omega)|^2 ## and will be the same for both cases. Mathematically, the energy density gets unworkable if it involves the square of a delta function, so there really needs to be some finite bandwidth.
Which signal do you speak of here?The initial signal
The original signal is ##F(t)=e^{i \omega_o t } ##. It really needs to be modified by a finite bandwidth to be completely workable. Including something like ## e^{-\alpha |t|} ## with small ## \alpha ## can help the mathematics.Which signal do you speak of here?![]()
So the frequency spectrum contains a delta function, or a single harmonic? (which seems logical)The original signal is ##F(t)=e^{i \omega_o t } ##. It really needs to be modified by a finite bandwidth to be completely workable.
Logical, but the Fourier transform theory I believe requires the function ## F(t) ## to be square integrable from ## -\infty ## to ## +\infty ##. See the addition I made to the previous post.So the frequency spectrum contains a delta function, or a single harmonic? (which seems logical)
Oh, maybe I should beI thought at first that you were talking about a complex waveform
You could have the two signals be ## F_1(t)=e^{-\alpha |t|} e^{i \omega _o t } ## for ## t<0 ## and ## F_1(t)=0 ## for ## t>0 ##, and ## F_2(t)=e^{i \phi} e^{-\alpha |t|}e^{i \omega_o t} ## for ## t>0 ##, and ## F_2(t)=0 ## for ## t<0 ##. I believe the F.T.'s are quite workable. See this thread, post 2, https://www.physicsforums.com/threa...y-formula-e-iwt-or-e-iwt.952487/#post-6037110 for the definition of Fourier Transform that I like to use. Basically these two will differ by ## e^{i \phi} ## if I'm not mistaken. There may be additional small differences, but the spectral energy density ## U(\omega) ## should be the same for both.So if the energy density of the first half of the signal and the second half of the signal is the same, the problem arises at the discontinuity, as would be expected?
Then simply superimpose ## F_1(t) ## and ## F_2(t) ## and compute the F.T.Yes. I want to treat the waveform as a single signal though.
Yes. I did not read you correctly.Then simply superimpose ## F_1(t) ## and ## F_2(t) ## and compute the F.T.
The result of the factor ## e^{- \alpha |t|} ## should be to introduce a bandwidth ## \Delta \omega \approx \alpha ##. I believe I have worked through this, or a very similar calculation, a number of years ago. You can also make the time interval finite from ## -T ## to ## +T ## (large ## T ##), with ## F(t)=0 ## outside of this interval, and you will have a bandwidth ## \Delta \omega \approx \frac{1}{T} ##.Yes. I did not read you correctly.I thought I could circumvent calculating it by lazyly asking the question bluntly
![]()