O'Reilly logo

Signals and Systems by Smarajit Ghosh

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

1.12 CLASSIFICATIONS OF DISCRETE TIME SYSTEMS

The discrete time systems can be classified as follows:

  • Static/Dynamic
  • Causal/Non-Causal
  • Time invariant/Time variant
  • Linear/Non-Linear
  • Stable/Unstable

1.12.1 Static and Dynamic Systems

The system is said to be static if its output depends only on the present input. On the other hand, if the output of the system depends on the past input, the system is said to be dynamic.

For example, y(n) = 5x(n) and y(n) = 2x2(n) +3x(n) are the static systems whereas y(n) = x(n) + 2x(n–1) represents the dynamic system.

1.12.2 Causal and Non-Causal Systems

If the output of the system depends on the past and presents input only, the system is said to be a causal system. On the other hand, if the output of the system ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required