The aim of this is to show the student the difference between Continuous and Discrete signals and systems, and how to identify them.

Signal

A signal is a function, so when we say a continuous time signal or a discrete time signal we really mean continuous time functions and discrete time functions.

Continuous Time (CT) Signals

A continuous time signal is a function that is continuous, meaning there are no breaks in the signal. For all real values of t you will get a value. $ f(t), t\subset \mathbb{R} $ CT signals are ususally represented by using $ x(t) $, having a parentheses and the variable t.

Discrete Time (DT) Signals

A discrete time signal is a signal whose value is taken at discrete measurements. With a discrete time signal there will be time periods of n where you do not have a value. DT signals are represented using the form $ x[n] $. Discrete signals are approximations of CT signals

Systems

A system transforms one signal into a different signal

Continuous Time (CT) System

A continuous time system can be likened to an analog to analog system. It takes in an analog(CT) signal and outputs ad different analog signal

Discrete Time (DT) System

A discrete time system can be likened to a discrete to discrete system. It takes in DT signal and outputs a different DT signal. Recordings are a good example for DT systems because when you record a sound you are taking samples at very close together time points to digitally recreate the sound

Basic System Types

CT DT
Time Delay $ x(t) \rightarrow [timeshift] \rightarrow y(t) = x(t-t_0) $ $ x[n] \rightarrow [timeshift] \rightarrow y[n] = x[n-n_0] $
Time Reversal $ x(t) \rightarrow [timereversal] \rightarrow y(t) = x(-t) $ $ x[n] \rightarrow [timereversal] \rightarrow y[n] = x[-n] $
Time Scaling $ x(t) \rightarrow [timescaling] \rightarrow y(t) = x(at) $ $ x[n] \rightarrow [timeshift] \rightarrow y[n] = x[an] $

Examples of CT and DT systems

CT System DT System
$ noise\, from\, lips\, \rightarrow [trumpet]\rightarrow trumpet\, noise $ $ recorded\, noise \rightarrow [software\, to \, sound\, like\, trumpet] \rightarrow trumpet\, sound $
$ visual \, of \, cat \rightarrow [ hand\, drawn \, cat] \rightarrow picture\, of \, cat $ $ visual\, of\, cat\, \rightarrow [camera\, picture] \rightarrow picture\, of\, cat $
$ sound \rightarrow [analog\, microphone] \rightarrow louder\, sound $ $ sound \rightarrow [digital\, microphone] \rightarrow louder\, sound $

Back to 2018 Fall ECE 301 Boutin

Alumni Liaison

BSEE 2004, current Ph.D. student researching signal and image processing.

Landis Huffman