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z-transform and realization of digital filters:

For the continuous-time systems Laplace transform is an extension of Fourier transform. The Laplace transform can be applied to a broader range of signals which the Fourier transform can, since there are a number of signals for which the Fourier transform doesn't converge but the Laplace transform does. The Laplace transform allows us, for instance, to perform transform analysis of unstable systems and to develop additional insights and tools for LTI system analysis.

Z-transform is the discrete time counterpart of the Laplace transform. The z- transform enables us to analyze certain discrete-time signals which do not have a discrete-time Fourier transform. The properties and motivations of the z-transform nearly resemble those of the Laplace transform. But, as with the relationship of continuous time versus the discrete-time Fourier transforms, there are distinctions in between the Laplace transform and the z- transform.

Definition 

The two-sided or bilateral z-transform, X(z), of the sequence x(n) can be defined as

623_z-transform and realization of digital filters.png

where z = r ejis complex variable. The above power series is a Laurent series.

The one-sided or unilateral z-transform can be defined as

906_z-transform and realization of digital filters1.png
The unilateral z-transform is specifically useful in analyzing causal systems specified by the linear constant-coefficient difference equations having nonzero initial conditions into which the inputs are stepped. It is widely used in digital control systems.

1042_z-transform and realization of digital filters2.png

The region of convergence (ROC) 

It is the set of z values for which the above summation converges. Generally the ROC is an annular region in complex z-plane which is given by

ROC = Rx- < |z| < Rx+

The relationship in between z-transform and discrete-time Fourier transform Setting z ejby definition

1678_z-transform and realization of digital filters4.png

If |z| = r = 1, then z-transform, obtained on the unit circle, vides the discrete-time Fourier transform of sequence x(n), which means that

1689_z-transform and realization of digital filters5.png

Example: The positive-time signal

2320_z-transform and realization of digital filters6.png

is sampled at T-second intervals resulting in series x(nT) or x(n)

1968_z-transform and realization of digital filters7.png

If a < 1 this series decays exponentially to 0 as n → ∞. By substituting x(n) in the equation, the z-transform is

1209_z-transform and realization of digital filters8.png

The ROC is |z| > |a|. It is X(z) is a rational function (a ratio of polynomials in z). The roots of numerator polynomial are zeros of X(z) and roots of denominator polynomial are poles of X(z).

It is a right-sided sequence. Right-sided sequences have a ROC which is the exterior of a circle having radius Rx- (|z| > |a| in this). If ROC is the exterior of a circle it is a right- sided series.

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