Region of convergence Z-transform

In summary, the conversation was about the z-transform for discrete signals and the Region of Convergence (ROC). The ROC determines if the z-transform exists and can be calculated by finding the poles of the z-transform. There are also other ways to arrive at the ROC, such as analyzing the convergence of the summation in the z-transform definition or having knowledge about the signal's time domain properties. Various examples and explanations can also be found in the provided links.
  • #1
MikeSv
35
0
Hello everyone.

Iam just learning the z-transform for discrete signals and I can't get my head around the Region of covergence (ROC).
As far as I have understood describes the ROC if the z-transform excists or not ?

But how to I actually calculate it? Is there any kind of formula?

I all examples I found they never show howto actually get to the solution.

Thanks in advance,

kind regards,

Mike
 
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  • #3
Thank you very much for your reply.
Does that mean its just finding out the poles of the z transform to find the ROC?

Regards,
Michael
 
  • #4
If you have checked those links, there are a few examples and explanation on how to arrive at the ROC.
Here are a few ways to arrive at it. Given the discrete time signal you analyze the convergence of the summation in the definition of z transform, which gives you the roots as well as the condition for which the summation converges (i.e., transform exists) thus giving the ROC.
Suppose you are given the roots but no time domain sequence, you need the knowledge of whether the signal is finite in duration, or is causal (positive time, negative time or both) with which you can decide the ROC.
If you have the z-domain transform right away, then you have the roots.
 

Related to Region of convergence Z-transform

What is the Region of Convergence (ROC) in Z-transform?

The Region of Convergence (ROC) in Z-transform is the set of values for which the Z-transform converges, meaning that the sum of the Z-transformed sequence is finite. It is usually represented as a circular or annular region in the complex plane.

Why is the Region of Convergence important in Z-transform?

The Region of Convergence is important in Z-transform because it determines the stability and causality of the system. A system is considered stable if the ROC includes the unit circle, and it is causal if the ROC is outside the outermost pole of the Z-transform.

How is the Region of Convergence determined in Z-transform?

The Region of Convergence is determined by analyzing the poles and zeros of the Z-transform function. If there are no poles or zeros on the unit circle, the ROC is the entire complex plane. If there are poles or zeros on the unit circle, the ROC is a ring or a sector in the complex plane.

What is the significance of the Region of Convergence in signal processing?

In signal processing, the Region of Convergence is important because it helps in determining the stability and causality of a system. It also helps in analyzing the frequency response and time-domain behavior of a system.

How does the Region of Convergence affect the inverse Z-transform?

The Region of Convergence plays a crucial role in finding the inverse Z-transform. The inverse Z-transform exists only for values of Z that lie within the ROC. If the Z-transform function has a finite ROC, the inverse Z-transform can be found using the partial fraction expansion method.

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