ZTransform
Z-transform
The Z-transform is a powerful tool used in signal processing and control theory, primarily for analyzing discrete-time systems. It is a generalization of the discrete-time Fourier transform (DTFT) and allows us to work with discrete signals in the frequency domain.
Definition
For a discrete-time signal ( x[n] ), the Z-transform ( X(z) ) is defined as:
where:
- ( x[n] ) is the discrete-time signal (sequence),
- ( z ) is a complex variable.
Region of Convergence (ROC)
The Z-transform only exists if the sum converges. The set of values of ( z ) for which the Z-transform converges is called the Region of Convergence (ROC).
Inverse Z-transform
The inverse Z-transform is used to convert back from the Z-domain to the time domain. It is given by:
where ( C ) is a contour in the complex plane that encircles the origin and lies within the ROC.
Properties of Z-transform
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Linearity:
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Time Shifting:
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Scaling in the Z-domain:
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Convolution:
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Differentiation in the Z-domain:
Applications of Z-transform
- Analysis and design of discrete-time control systems.
- Solving difference equations.
- Digital signal processing (DSP).
Questions
Question 1
The Z-transform of the unit step function ( ) is given by:
This is a geometric series, and for ( |z| > 1 ), it converges to:
Thus, the Z-transform of ( u(n) ) is:
Question 2
The given sequence is ( ). To find its Z-transform, we use the standard formula for the Z-transform of ( a^n u(n) ), where ( u(n) ) is the unit step function.
For ( ), the Z-transform is:
This is a geometric series and converges for ( ), or ( ). The sum of the geometric series is:
Thus, the Z-transform of ( ) is: