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

  1. Linearity:

  2. Time Shifting:

  3. Scaling in the Z-domain:

  4. Convolution:

  5. 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:

Question 3