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Examples conclusion

Bilateral Z-transform | Unilateral Z-transform | Geophysical definition | Inverse Z-transform | Relationship to Laplace transform | Process of sampling | Relationship to Fourier transform | Linear constant-coefficient difference equation | Zeros and poles | Output response |


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Examples 2 & 3 clearly show that the Z-transform of is unique when and only when specifying the ROC. Creating the pole-zero plot for the causal and anticausal case show that the ROC for either case does not include the pole that is at 0.5. This extends to cases with multiple poles: the ROC will never contain poles.

In example 2, the causal system yields an ROC that includes while the anticausal system in example 3 yields an ROC that includes .

 

ROC shown as a blue ring

In systems with multiple poles it is possible to have an ROC that includes neither nor . The ROC creates a circular band. For example, has poles at 0.5 and 0.75. The ROC will be , which includes neither the origin nor infinity. Such a system is called a mixed-causality system as it contains a causal term and an anticausal term .

The stability of a system can also be determined by knowing the ROC alone. If the ROC contains the unit circle (i.e., ) then the system is stable. In the above systems the causal system (Example 2) is stable because contains the unit circle.

If you are provided a Z-transform of a system without an ROC (i.e., an ambiguous ) you can determine a unique provided you desire the following:

If you need stability then the ROC must contain the unit circle. If you need a causal system then the ROC must contain infinity and the system function will be a right-sided sequence. If you need an anticausal system then the ROC must contain the origin and the system function will be a left-sided sequence. If you need both, stability and causality, all the poles of the system function must be inside the unit circle.

The unique can then be found.


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Region of convergence| Properties

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