(Example: A time variant system)
 
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A '''time invariant''' system depends on the order of cascades to return an output with a given input. In order to check for time invariance, a time delay must be used in two cases. In one case, the time delay must proceed the signal being sent through the system. In the other, the time delay must come after the signal being sent through the system. If the returned output is equal in both cases, the system is time invariant.
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A '''time invariant''' system depends on the order of cascades to return an output with a given input. In order to check for time invariance, a time delay must be used in two cases. In one case, the time delay must precede the signal being sent through the system. In the other, the time delay must come after the signal being sent through the system. If the returned output is equal in both cases, the system is time invariant.
  
 
== Example: A time invariant system ==
 
== Example: A time invariant system ==

Latest revision as of 07:00, 12 September 2008

A time invariant system depends on the order of cascades to return an output with a given input. In order to check for time invariance, a time delay must be used in two cases. In one case, the time delay must precede the signal being sent through the system. In the other, the time delay must come after the signal being sent through the system. If the returned output is equal in both cases, the system is time invariant.

Example: A time invariant system

System: $ y(t)=\pi^2 x(t) $

Time-delay, then system: $ y(t)=x(t-t_0) $
$ z_1(t)=\pi^2 x(t-t_0) $

System, then time-delay: $ y(t)=\pi^2 x(t) $
$ z_2(t)=\pi^2 x(t-t_0) $

$ z_1 $ and $ z_2 $ are equal; therefore, the system is time-invariant.

Example: A time variant system

System: $ y(t)=\pi^2 x(t)-\pi t $

Time-delay, then system: $ y(t)=x(t-t_0) $
$ z_1(t)=\pi^2 x(t-t_0)-\pi t $

System, then time-delay: $ y(t)=\pi^2 x(t)-\pi t $
$ z_2(t)=\pi^2 x(t-t_0)-\pi (t-t_0) $

$ z_1 $ and $ z_2 $ are not equal; therefore, the system is not time-invariant.

Alumni Liaison

Ph.D. on Applied Mathematics in Aug 2007. Involved on applications of image super-resolution to electron microscopy

Francisco Blanco-Silva