Module 1 : Signals In Natural Domain
Lecture 8 : Classification of Systems
 

Properties of discrete variable systems

We have classified systems into three classes - Continuous-time systems, Discrete-time systems and Hybrid systems. Now that we have introduced some system properties, let us see what properties are relevant to which classes of systems.

Let us first consider examples of different classes of systems.

Continuous-time systems
Continuous-Continuous systems

1.Tree swaying in the wind:
Wind - described by its speed, direction - is a continuous-time input.
Movement of branches is continuous-time output signal.

Discrete-time systems
Discrete-Discrete systems

1.Logic circuits:
Discrete logic inputs are processed to give discrete logic outputs.

Hybrid systems
Continuous-Discrete systems

1.Eye: sees continuous image, but sends a discrete map to the brain

2.Computer microphone: Sampler converts a continuous time signal into a discrete time signal.(Sampler forms an important system in today’s digital world - we shall look at this in great detail later in the course)

Hybrid systems
Discrete-Continuous systems

1.Brain : gets a discrete map from the eye, and completes a smooth, continuous picture

2.Computer speaker and sound card - a digital music output given by the computer is smoothed out and played as a continuous waveform.