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Notation:

Say we have a continuous-time signal $x(t)$. We can take its Fourier transform and get $$x(t) \longleftrightarrow X(f)$$ We know that multiplying two signals in the time domain corresponds to convolving their frequency domain representations. We also know that a Dirac comb in the time domain is a Dirac comb in the frequency domain, so we can define $x_s(t)$ (the sampled version of $x(t)$): $$x_s(t) \equiv x(t)\cdot\mathrm{comb}(t)$$ $$x_s(t) \longleftrightarrow X_s(f)=X(f)\star \mathrm{comb}(f)$$

Where I have used the $\star$ operator to denote convolution.

We're almost done setting up notation. We'll finish off with the Laplace- and Z-transforms: $$x(t)\longleftrightarrow \mathcal{X}(s)$$ and, using the sifting property, $$x_s(t)\longleftrightarrow \mathcal{X}_s(s)=\int_{-\infty}^{\infty}x(t)\cdot\mathrm{comb}(t)\cdot e^{-st}\ dt=\sum_{n=-\infty}^{\infty}x[n]e^{-sn}$$

where I have hand-waved away the spacing between the impulses of the comb function.

Finally, we define $z\equiv e^{s}$ and get $$x_s(t)\longleftrightarrow\mathcal{X}_z(z)=\sum_{n=-\infty}^{\infty}x[n]z^{-n}$$

the Z-transform of $x[n]$.I've done away with the spacing between the impulses for the sake of simplicity.

The question:

The effects of sampling in the time domain cause a "periodicization" in the frequency domain (i.e. the convolution with a comb function). If your sampling rate is high enough, then you can completely recover $x(t)\longleftrightarrow X(f)$ from $X_s(f)$ by multiplying $X_s(f)$ with a rect function, in order to cancel out the "copies" of the spectrum produced in the convolution.

What I would like to know is if there is a strategy to at least approximate the Laplace transform of $x(t)$ knowing its Z-transform, $\mathcal{X}_z(z)$. I have tried to work it out by investigating the effects of sampling:

$$x(t)\cdot \mathrm{comb}(t) \longleftrightarrow \mathcal{X}(s)\star ??$$

In fact, the Laplace transform of $\mathrm{comb}(t)$ is already a bit strange:

$$\mathscr{L}\{\mathrm{comb}(t)\}=\int_{-\infty}^{\infty}\sum_{k=-\infty}^{\infty}\delta(t-k)\cdot e^{-st}\ dt $$ $$= \sum_{k=-\infty}^{\infty}e^{-sk}= \sum_{k=0}^{\infty}e^{-sk} + \sum_{k=1}^{\infty}e^{sk}$$

(Note the negation of the exponent in the second summation on the right hand side). Problem is, I think this sum should diverge. It's not even clear what the Laplace transform of the comb function is, so I really have no idea what the convolution would produce in the s-domain, let alone how to undo it.

Anyone have any insight here?

Mahkoe
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  • To uniquely map a strip from the s-plane, $-\pi < \omega T \le \pi $, to the z-plane, use the relation $z=e^{sT}$ where $T = \dfrac{1}{F_s}$ is the sampling period of the discrete system, IIRC. – Andy Walls May 21 '17 at 03:08
  • You can also use Tustin's method to go from the z plane to the entire s plane, approximately: https://en.m.wikipedia.org/wiki/Bilinear_transform – Andy Walls May 21 '17 at 03:17
  • But shouldn't this only undo the substitution $z \equiv e^{sT}$? It won't undo the effects of sampling, I don't think. – Mahkoe May 21 '17 at 13:43
  • @Mahkoe just commenting here, about the divergence of the series of the Laplace transform, I believe I remember from signals courses that Laplace transform have a specific domain where are defined called ROC, which it is used to figure out even properties in the time domain. About the convolution, in my second answer to this question I believe I have found a way to avoid the convolutions, maybe it could be useful to your analysis (I hope so). – Joako Nov 11 '21 at 13:01
  • Hi Joako, you have certainly done a lot of work on this, it will take me some time to parse and understand all those details. – Mahkoe Nov 11 '21 at 15:45

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