Engineering I/Q of Signals and Hilbert Transform

AI Thread Summary
The discussion focuses on finding the carrier frequency f0 from the complex envelope of a signal s(t) using the Fourier Transform. The user has successfully identified the in-phase (I) and quadrature (Q) components but seeks clarification on the method for determining f0. A proposed approach involves using integrals that define the I and Q components in relation to cosine and sine functions. The conversation suggests that these integrals resemble Fourier transform evaluations and may involve convolution in the frequency domain. Overall, the thread emphasizes the need for a clear methodology to accurately extract the carrier frequency from the signal components.
ashah99
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Homework Statement
Please see below for problem statement.
Relevant Equations
In-phase component: [S(f) + S*(-f)]/2
Quadrature phase component: [S(f) - S*(-f)] / (2j)
Hilbert Transform: H(f) = -j*sign(f)
Hello, would anyone be willing to provide help to the following problem? I can find the Fourier Transform of the complex envelope of s(t) and the I/Q can be found by taking the Real and imaginary parts of that complex envelope, but how can I approach the actual question of finding the carrier f0? Do I multiply by -j*sign(f) of the Q part in the frequency domain and set it equal to I and solve for f0? I appreciate any help.

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Hi, just thought I would give this a go because it is unanswered.

ashah99 said:
I can find the Fourier Transform of the complex envelope of s(t) and the I/Q can be found by taking the Real and imaginary parts of that complex envelope, but how can I approach the actual question of finding the carrier f0?
Apologies, would you mind explaining how you find the in-phase and quadrature-phase components of the signal. If I had to make an educated guess (let me know if I am wrong), I thought we would try to resolve onto the in-phase and quadrature signals. That is, if we defined cos as in-phase and sin as quadrature-phase something along the lines of:

\text{In-phase component } s_{I}(t) = \int s(t) cos(2\pi f_0 t) dt
and
\text{Quadrature-phase component } s_{Q}(t) = \int s(t) sin(2\pi f_0 t) dt

(or we could define them the other way around)

Before I type out the rest of the what I did does that seem reasonable (otherwise, I don't want to lead you astray)?

IF that seems fair, then those integrals look like Fourier transform integrals evaluated at ## f = 0 ##... and we know that the Fourier transform of a product in the time domain is the product of the Fourier transforms in the frequency domain...
- By duality we can find Fourier transform of s(t)
- We know the Fourier transforms of the ##sin(2 \pi f_0 t)## and ##cos(2\pi f_0 t)## for a general ## f_0 ##
- We could calculate the convolution for both in-phase and quadrature-components

If you agree with the above (feel free to correct and/or disagree with me), then we can apply the Hilbert transform visually to look where the two
 

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