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z -transform examples

Consider the z -transform given by H ( z ) = z , as illustrated below.

A three-dimensional graph displaying a cone-shaped z-transform.

The corresponding DTFT has magnitude and phase given below.

A graph of horizontal axis ω and vertical axis, the absolute value of H(e^jω). There is a horizontal blue line on the graph above the horizontal axis.
A graph of horizontal axis ω and vertical axis,  H(e^jω). There is a diagonal blue line on the graph that crosses the origin.

What could the system H be doing? It is a perfect all-pass, linear-phase system. But what does this mean?

Suppose h [ n ] = δ [ n - n 0 ] . Then

H ( z ) = n = - h [ n ] z - n = n = - δ [ n - n 0 ] z - n = z - n 0 .

Thus, H ( z ) = z - n 0 is the z -transform of a system that simply delays the input by n 0 . H ( z ) = z - 1 is the z -transform of a unit-delay.

Now consider x [ n ] = α n u [ n ]

A graph of horizontal axis n and vertical axis x[n]. There are evenly-spaced, decreasing vertical lines extending from the horizontal axis to a point in the first quadrant. At the top of each line segment is a small blue circle.
X ( z ) = n = - x [ n ] z - n = n = 0 α n z - n = n = 0 α z n = 1 1 - α z ( if | α / z | < 1 ) (Geometric Series) = z z - α

What if a z 1 ? Then n = 0 ( α n ) n does not converge! Therefore, whenever we compute a z -transform, we must also specify the set of z 's for which the z -transform exists. This is called the region of convergence (ROC). In the above example, the ROC= { z : z > α } .

A graph of horizontal axis Re[z] and vertical axis Im[z], labeled ROC. The graph contains a blue circle centered at the origin, with a line from the origin to a point on the circle in the first quadrant, labeled α.

What about the “evil twin” x [ n ] = - α n u [ - 1 - n ] ?

X ( z ) = n = - - α n u [ - 1 - n ] z - n = n = - - 1 - α n z - n = - n = - - 1 z α - n = - n = 1 z α n = 1 - n = 0 z α n ( converges if | z / α | < 1 ) = 1 - 1 1 - z α = α - z - α α - z = z z - α

We get the exact same result but with ROC= { z : z < α } .

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Source:  OpenStax, Digital signal processing. OpenStax CNX. Dec 16, 2011 Download for free at http://cnx.org/content/col11172/1.4
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