Are There Engineering Applications for the Generalized Z-Transform?

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Discussion Overview

The discussion centers on the potential engineering applications of a generalized form of the Z-transform, specifically the expression ##X(z) = \sum_{n=-\infty}^\infty x[n] e^{-zn}##. Participants explore its relationship to other transforms, such as the Laplace and Fourier transforms, and consider its implications in digital signal processing (DSP) and control systems.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant inquires about engineering applications of the generalized Z-transform, suggesting a connection to the standard Z-transform through the substitution ##z \mapsto Log(z)##.
  • Another participant argues that the generalized Z-transform is closely related to the Laplace and Fourier transforms, implying that any applications may already be covered by these transforms.
  • A different participant explains that the standard Z-transform can be evaluated on the unit circle to yield the discrete time Fourier transform, and discusses the chirp-Z transform as a method for sampling in the complex plane.
  • One participant challenges the relationship between the generalized Z-transform and the Laplace transform, noting that the summation in the generalized case includes negative indices, which is not the case for the Laplace integral.
  • Another participant elaborates on the use of a finite time sequence in relation to the generalized Z-transform, suggesting it can be viewed as a DFT on a spiral in the complex plane.
  • There is a reiteration of the potential naming of the generalized Z-transform as a discrete Laplace transform, with emphasis on the differences in summation limits compared to the Laplace transform.
  • One participant mentions that the Z-transform is widely used in DSP and control systems, indicating its relevance in practical applications.

Areas of Agreement / Disagreement

Participants express differing views on the relationship between the generalized Z-transform and other transforms, particularly the Laplace transform. There is no consensus on the applications or implications of the generalized Z-transform in engineering contexts.

Contextual Notes

Participants highlight various assumptions regarding the nature of the sequences involved, the definitions of the transforms, and the implications of using complex variables. The discussion remains open-ended with unresolved mathematical relationships and applications.

MathematicalPhysicist
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Has there been any applications in engineering to the following generelization to Z-transform?

##X(z) = \sum_{n=-\infty}^\infty x[n] e^{-zn}##

We get the ##z##-trasnform by using the substitution ##z \mapsto Log(z)##.

Thanks in advance.
 
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It's looks so closely related to the Laplace transform (and maybe the Fourier transform) that any any application of it would probably be satisfied by one of those.
 
Yes. The standard Z transform:
[tex] X(z) = \sum_{n=-\infty}^\infty x[n] z^{-n}[/tex]
can be evaluated on the unit circle, ##z=e^{i \Omega}## and you get the discrete time Fourier transform. If you have a finite number of elements in your sequence ##x[n]## this is essentially the Discrete Fourier Transform(DFT) if you chose ##\Omega## properly. If you move off the unit circle (or don't have the nice spacing of the DFT) you can get something sometimes called the chirp-z transform (and may have other names), which in general samples along spirals int he complex plane. It can be used to try and detect poles off the unit circle, or sometimes is used to sample only the part of the unit circle that you want.

jason
 
@jasonRF but in your case ##\Omega## is real, in my case, the ##z## in the exponent is complex. As in ##e^{x+iy}##.
So it maybe called the discrete laplace transform.
 
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MathematicalPhysicist said:
@jasonRF
So it maybe called the discrete laplace transform.
Right. But also the summation goes negative, where the Laplace integral does not. I can't see what the relationship would be. A sampled signal mixed with a Laplace?
 
MathematicalPhysicist said:
@jasonRF but in your case ##\Omega## is real, in my case, the ##z## in the exponent is complex. As in ##e^{x+iy}##.
So it maybe called the discrete laplace transform.
Sorry I wasn't more clear; that is what I meant by "off the unit circle". More explicitly, for a finite time sequence people have used,
[tex] X[k] = \sum_{n=0}^{N-1} x[n] e^{-\sigma n k - i 2 \pi k n /N}[/tex]
with ##k## varying from 0 to N-1. This is like a DFT, except on a spiral instead of the unit circle. You can think of this as
[tex] X(z_k) = \sum_{n=0}^{N-1} x[n] z_k^{-n}[/tex]
with
[tex] z_k = e^{\sigma k - i 2 \pi k /N}[/tex]
just as you were asking.

If you are thinking an infinite sequence, then your example is conceptually no different than the Z transform.

A classic reference on this (I must admit that I have not read the paper) is:
http://www.researchgate.net/publication/3205060_Enhancement_of_Poles_in_Spectral_Analysis jason
 
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FactChecker said:
Right. But also the summation goes negative, where the Laplace integral does not. I can't see what the relationship would be. A sampled signal mixed with a Laplace?
There's one sided Laplace transform and there's the two sided Laplace transform, i.e from -\infty to \infty.
 
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MathematicalPhysicist said:
Has there been any applications in engineering to the following generelization to Z-transform?

##X(z) = \sum_{n=-\infty}^\infty x[n] e^{-zn}##

We get the ##z##-trasnform by using the substitution ##z \mapsto Log(z)##.

Thanks in advance.
the z-transform is used a lot in DSP and controls to name a few
 

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